mckinsey com problem solving

Adopting the right problem-solving approach

May 4, 2023 You’ve defined your problem, ensured stakeholders are aligned, and are ready to bring the right problem-solving approach and focus to the situation to find an optimal solution. But what is the right problem-solving approach? And what if there is no single ideal course of action? In our 2013 classic  from the Quarterly , senior partner Olivier Leclerc  highlights the value of taking a number of different approaches simultaneously to solve difficult problems. Read on to discover the five flexons, or problem-solving languages, that can be applied to the same problem to generate richer insights and more innovative solutions. Then check out more insights on problem-solving approaches, and dive into examples of pressing challenges organizations are contending with now.

Five routes to more innovative problem solving

Author Talks: Get on the performance curve

Strategy to beat the odds

How to master the seven-step problem-solving process

Want better strategies? Become a bulletproof problem solver

Digital performance management: From the front line to the bottom line

Addressing employee burnout: Are you solving the right problem?

Business’s ‘It’s not my problem’ IT problem

TEST YOUR SKILLS

Take the McKinsey Problem Solving Test

Solve, McKinsey’s assessment game

McKinsey Problem Solving: Six steps to solve any problem and tell a persuasive story

The McKinsey problem solving process is a series of mindset shifts and structured approaches to thinking about and solving challenging problems. It is a useful approach for anyone working in the knowledge and information economy and needs to communicate ideas to other people.

Over the past several years of creating StrategyU, advising an undergraduates consulting group and running workshops for clients, I have found over and over again that the principles taught on this site and in this guide are a powerful way to improve the type of work and communication you do in a business setting.

When I first set out to teach these skills to the undergraduate consulting group at my alma mater, I was still working at BCG. I was spending my day building compelling presentations, yet was at a loss for how to teach these principles to the students I would talk with at night.

Through many rounds of iteration, I was able to land on a structured process and way of framing some of these principles such that people could immediately apply them to their work.

While the “official” McKinsey problem solving process is seven steps, I have outline my own spin on things – from experience at McKinsey and Boston Consulting Group. Here are six steps that will help you solve problems like a McKinsey Consultant:

Step #1: School is over, stop worrying about “what” to make and worry about the process, or the “how”

When I reflect back on my first role at McKinsey, I realize that my biggest challenge was unlearning everything I had learned over the previous 23 years. Throughout school you are asked to do specific things. For example, you are asked to write a 5 page paper on Benjamin Franklin — double spaced, 12 font and answering two or three specific questions.

In school, to be successful you follow these rules as close as you can. However, in consulting there are no rules on the “what.” Typically the problem you are asked to solve is ambiguous and complex — exactly why they hire you. In consulting, you are taught the rules around the “how” and have to then fill in the what.

The “how” can be taught and this entire site is founded on that belief. Here are some principles to get started:

Step #2: Thinking like a consultant requires a mindset shift

There are two pre-requisites to thinking like a consultant. Without these two traits you will struggle:

• A healthy obsession looking for a “better way” to do things
• Being open minded to shifting ideas and other approaches

In business school, I was sitting in one class when I noticed that all my classmates were doing the same thing — everyone was coming up with reasons why something should should not be done.

As I’ve spent more time working, I’ve realized this is a common phenomenon. The more you learn, the easier it becomes to come up with reasons to support the current state of affairs — likely driven by the status quo bias — an emotional state that favors not changing things. Even the best consultants will experience this emotion, but they are good at identifying it and pushing forward.

Key point : Creating an effective and persuasive consulting like presentation requires a comfort with uncertainty combined with a slightly delusional belief that you can figure anything out.

Step #3: Define the problem and make sure you are not solving a symptom

Before doing the work, time should be spent on defining the actual problem. Too often, people are solutions focused when they think about fixing something. Let’s say a company is struggling with profitability. Someone might define the problem as “we do not have enough growth.” This is jumping ahead to solutions — the goal may be to drive more growth, but this is not the actual issue. It is a symptom of a deeper problem.

Consider the following information:

• Costs have remained relatively constant and are actually below industry average so revenue must be the issue
• Revenue has been increasing, but at a slowing rate
• This company sells widgets and have had no slowdown on the number of units it has sold over the last five years
• However, the price per widget is actually below where it was five years ago
• There have been new entrants in the market in the last three years that have been backed by Venture Capital money and are aggressively pricing their products below costs

In a real-life project there will definitely be much more information and a team may take a full week coming up with a problem statement . Given the information above, we may come up with the following problem statement:

Problem Statement : The company is struggling to increase profitability due to decreasing prices driven by new entrants in the market. The company does not have a clear strategy to respond to the price pressure from competitors and lacks an overall product strategy to compete in this market.

Step 4: Dive in, make hypotheses and try to figure out how to “solve” the problem

Now the fun starts!

There are generally two approaches to thinking about information in a structured way and going back and forth between the two modes is what the consulting process is founded on.

First is top-down . This is what you should start with, especially for a newer “consultant.” This involves taking the problem statement and structuring an approach. This means developing multiple hypotheses — key questions you can either prove or disprove.

Given our problem statement, you may develop the following three hypotheses:

• Company X has room to improve its pricing strategy to increase profitability
• Company X can explore new market opportunities unlocked by new entrants
• Company X can explore new business models or operating models due to advances in technology

As you can see, these three statements identify different areas you can research and either prove or disprove. In a consulting team, you may have a “workstream leader” for each statement.

Once you establish the structure you you may shift to the second type of analysis: a bottom-up approach . This involves doing deep research around your problem statement, testing your hypotheses, running different analysis and continuing to ask more questions. As you do the analysis, you will begin to see different patterns that may unlock new questions, change your thinking or even confirm your existing hypotheses. You may need to tweak your hypotheses and structure as you learn new information.

A project vacillates many times between these two approaches. Here is a hypothetical timeline of a project:

Step 5: Make a slides like a consultant

The next step is taking the structure and research and turning it into a slide. When people see slides from McKinsey and BCG, they see something that is compelling and unique, but don’t really understand all the work that goes into those slides. Both companies have a healthy obsession (maybe not to some people!) with how things look, how things are structured and how they are presented.

They also don’t understand how much work is spent on telling a compelling “story.” The biggest mistake people make in the business world is mistaking showing a lot of information versus telling a compelling story. This is an easy mistake to make — especially if you are the one that did hours of analysis. It may seem important, but when it comes down to making a slide and a presentation, you end up deleting more information rather than adding. You really need to remember the following:

Data matters, but stories change hearts and minds

Here are four quick ways to improve your presentations:

Tip #1 — Format, format, format

Both McKinsey and BCG had style templates that were obsessively followed. Some key rules I like to follow:

• Make sure all text within your slide body is the same font size (harder than you would think)
• Do not go outside of the margins into the white space on the side
• All titles throughout the presentation should be 2 lines or less and stay the same font size
• Each slide should typically only make one strong point

Tip #2 — Titles are the takeaway

The title of the slide should be the key insight or takeaway and the slide area should prove the point. The below slide is an oversimplification of this:

Even in consulting, I found that people struggled with simplifying a message to one key theme per slide. If something is going to be presented live, the simpler the better. In reality, you are often giving someone presentations that they will read in depth and more information may make sense.

To go deeper, check out these 20 presentation and powerpoint tips .

Tip #3 — Have “MECE” Ideas for max persuasion

“MECE” means mutually exclusive, collectively exhaustive — meaning all points listed cover the entire range of ideas while also being unique and differentiated from each other.

An extreme example would be this:

• Slide title: There are seven continents
• Slide content: The seven continents are North America, South America, Europe, Africa Asia, Antarctica, Australia

The list of continents provides seven distinct points that when taken together are mutually exclusive and collectively exhaustive . The MECE principle is not perfect — it is more of an ideal to push your logic in the right direction. Use it to continually improve and refine your story.

Applying this to a profitability problem at the highest level would look like this:

Goal: Increase profitability

2nd level: We can increase revenue or decrease costs

3rd level: We can increase revenue by selling more or increasing prices

Each level is MECE. It is almost impossible to argue against any of this (unless you are willing to commit accounting fraud!).

Tip #4 — Leveraging the Pyramid Principle

The pyramid principle is an approach popularized by Barbara Minto and essential to the structured problem solving approach I learned at McKinsey. Learning this approach has changed the way I look at any presentation since.

Here is a rough outline of how you can think about the pyramid principle as a way to structure a presentation:

As you build a presentation, you may have three sections for each hypothesis. As you think about the overall story, the three hypothesis (and the supporting evidence) will build on each other as a “story” to answer the defined problem. There are two ways to think about doing this — using inductive or deductive reasoning:

If we go back to our profitability example from above, you would say that increasing profitability was the core issue we developed. Lets assume that through research we found that our three hypotheses were true. Given this, you may start to build a high level presentation around the following three points:

These three ideas not only are distinct but they also build on each other. Combined, they tell a story of what the company should do and how they should react. Each of these three “points” may be a separate section in the presentation followed by several pages of detailed analysis. There may also be a shorter executive summary version of 5–10 pages that gives the high level story without as much data and analysis.

Step 6: The only way to improve is to get feedback and continue to practice

Ultimately, this process is not something you will master overnight. I’ve been consulting, either working for a firm or on my own for more than 10 years and am still looking for ways to make better presentations, become more persuasive and get feedback on individual slides.

The process never ends.

The best way to improve fast is to be working on a great team . Look for people around you that do this well and ask them for feedback. The more feedback, the more iterations and more presentations you make, the better you will become. Good luck!

If you enjoyed this post, you’ll get a kick out of all the free lessons I’ve shared that go a bit deeper. Check them out here .

Do you have a toolkit for business problem solving? I created Think Like a Strategy Consultant as an online course to make the tools of strategy consultants accessible to driven professionals, executives, and consultants. This course teaches you how to synthesize information into compelling insights, structure your information in ways that help you solve problems, and develop presentations that resonate at the C-Level. Click here to learn more or if you are interested in getting started now, enroll in the self-paced version ($497) or hands-on coaching version ($997). Both versions include lifetime access and all future updates.

Share this:

• Click to share on Facebook (Opens in new window)
• Click to share on LinkedIn (Opens in new window)
• Click to share on Twitter (Opens in new window)
• Click to share on Pocket (Opens in new window)
• Click to share on WhatsApp (Opens in new window)

McKinsey Solve

• Fundamentals
• How it works
• Skills tested
• How to prepare
• A guide to the McKinsey Problem Solving Game

MCC is here to help

McKinsey’s Solve assessment has been making candidates sweat ever since it was initially trialled at the firm’s London office back in 2017 - and things have gotten even more difficult since a new version launched in Spring 2023, adding the Redrock case study.

More recently, in Summer 2023, we have seen a new iteration of that Redrock case, as we continue to interview test takers to keep you updated. This replaces the case study about optimising wolf pack populations across Redrock Island with one about boosting the overall plant biodiversity on the same island.

Since its initial roll-out, the Solve assessment has definitely been the most idiosyncratic, but also the most advanced, of the screening tests used by the MBB firms.

It can be hard to understand how an ecology-themed video game can tell McKinsey whether you’ll make a good management consultant, let alone know how to prepare yourself to do well in that game. When you consider that McKinsey are potentially cutting 70%+ of the applicant pool based on this single test, you can hardly blame applicants for being worried.

Matters are definitely not helped by the dearth of reliable, up-to-date information about what could very well be - with a top-tier consulting job on the line - the most important test you will take over your entire career. This was already true with the version of Solve that had been around for a few years, let alone the new iterations.

What information is available online is then often contradictory. For a long time, there was huge disagreement as to whether it is actually possible to meaningfully prepare for the Solve assessment - before you’ve even considered how to go about that preparation. There is also a lot of confusion and inaccuracy around the new Redrock case - largely as it is such a recent addition, and individual test takers tend to misremember details.

Luckily, we at MCC have been interviewing test takers both before and after the Redrock case rollout and have been following up to see which strategies and approaches actually work to push individuals through to interview.

Here, we’ll explain that it is indeed possible to prepare effectively for both versions of Solve and give you some ideas for how you can get started. Understanding how the Solve assessment works, what it tests you for and how is critical for all but the most hurried preparations.

This article makes for a great introduction to the Solve assessment. However, if you are going to be facing this aptitude test yourself and want full information and advice for preparation, then you should ideally get our full PDF guide:

Master the Solve Assessment

What is the mckinsey solve assessment.

In simple terms, the McKinsey Solve assessment is a set of ecology-themed video games. In these games, you must do things like build food chains, protect endangered species, manage predator and prey populations, boost biodiversity and potentially diagnose diseases within animal populations or identify natural disasters.

Usually, you will be given around 70 minutes to complete two separate games, spending about the same amount of time on each.

Until recently, these games had uniformly been Ecosystem Building and Plant Defence. However, since Spring 2023, McKinsey has been rolling out a new version across certain geographies. This replaces the Plant Defence game with the new Redrock case study. Some other games have also been run as tests.

We’ll run through a little more on all these games below to give you an idea of what you’ll be up against for both versions and possible new iterations.

An important aspect that we'll cover in more detail here is that the Solve games don't only score you on your answers (your "product score"), but also on the method you use to arrive at them (your "process score") - considerably impacting optimal strategy.

In the past, candidates had to show up to a McKinsey office and take what was then the Digital Assessment or PSG on a company computer. However, candidates are now able to take the re-branded Solve assessment at home on their own computers.

Test takers are allowed to leverage any assistance they like (you aren’t spied on through your webcam as you would be with some other online tests), and it is common to have a calculator or even another computer there to make use of.

Certainly, we strongly advise every candidate to have at least a pen, paper and calculator on their desk when they take the Solve assessment.

Common Question: Is the Solve assessment the same thing as the PSG?

In short, yes - “Solve” is just the newer name for the McKinsey Problem Solving Game.

We want to clear up any potential confusion right at the beginning. You will hear this same screening test called a few different things in different places. The Solve moniker itself is a relatively recent re-branding by McKinsey. Previously, the same test was known as either the Problem Solving Game (usually abbreviated to PSG) or the Digital Assessment. You will also often see that same test referred to as the Imbellus test or game, after the firm that created the first version.

You will still see all these names used across various sites and forums - and even within some older articles and blog posts here on MyConsultingCoach. McKinsey has also been a little inconsistent on what they call their own assessment internally. Candidates can often become confused when trying to do their research, but you can rest assured that all these names refer to the same screening test - though, of course, folk might be referring to either the legacy or Redrock versions.

How and why does McKinsey use the Solve assessment?

It’s useful to understand where the Solve assessment fits into McKinsey’s overall selection process and why they have felt the need to include it.

Let’s dive right in…

How is the Solve Assessment used by McKinsey?

McKinsey's own account of how the Solve assessment is used in selection can be seen in the following video:

Whilst some offices initially stuck with the old PST, the legacy Solve assessment was soon rolled out globally and given universally to candidates for roles at pretty well every level of the hierarchy. Certainly, if you are a recent grad from a Bachelor’s, MBA, PhD or similar, or a standard experienced hired, you can expect to be asked to complete the Solve assessment.

Likewise, the new Redrock case study versions seem to be in the process of being rolled out globally - though at this point it seems you might be given either (especially as McKinsey has been having significant technical problems with this new online case study) and so should be ready for both.

At present, it seems that only those applying for very senior positions, or perhaps those with particularly strong referrals and/or connections, are allowed to skip the test. Even this will be office-dependent.

As noted above, one of the advantages of the Solve assessment is that it can be given to all of McKinsey’s hires. Thus, you can expect to be run into the same games whether you are applying as a generalist consultant or to a specialist consulting role - with McKinsey Digital , for example.

The takeaway here is that, if you are applying to McKinsey for any kind of consulting role, you should be fully prepared to sit the Solve Assessment!

Where does the Solve assessment fit into the recruitment process?

You can expect to receive an invitation to take the Solve assessment shortly after submitting your resume.

It seems that an initial screen of resumes is made, but that most individuals who apply are invited to take the Solve assessment.

Any initial screen is not used to make a significant cut of the candidate pool, but likely serves mostly to weed out fraudulent applications from fake individuals (such as those wishing to access the Solve assessment more than once so they can practice...) and perhaps to eliminate a few individuals who are clearly far from having the required academic or professional background, or have made a total mess of their resumes.

Your email invitation will generally give you either one or two weeks to complete the test, though our clients have seen some variation here - with one individual being given as little as three days.

Certainly, you should plan to be ready to sit the Solve assessment within one week of submitting your resume!

Once you have completed the test, McKinsey explain on their site that they look at both your test scores and resume (in more detail this time) to determine who will be invited to live case interviews. This will only be around 30% of the candidates who applied - possibly even fewer.

One thing to note here is that you shouldn’t expect a good resume to make up for bad test scores and vice versa. We have spoken to excellent candidates whose academic and professional achievements were not enough to make up for poor Solve performance. Similarly, we don’t know of anyone invited to interview who hadn’t put together an excellent resume.

Blunty, you need great Solve scores and a great resume to be advanced to interview.

Your first port of call to craft the best possible resume and land your invitation to interview is our excellent free consulting resume guide .

Why does this test exist?

As with Bain, BCG and other major management consulting firms, McKinsey receives far far more applications for each position than they can ever hope to interview. Compounding this issue is that case interviews are expensive and inconvenient for firms like McKinsey to conduct. Having a consultant spend a day interviewing just a few candidates means disrupting a whole engagement and potentially having to fly that consultant back to their home office from wherever their current project was located. This problem is even worse for second-round interviews given by partners.

Thus, McKinsey need to cut down their applicant pool as far as possible, so as to shrink the number of case interviews they need to give without losing the candidates they actually want to hire. Of course, they want to accomplish this as cheaply and conveniently as possible.

The Problem Solving Test (invariably shortened to PST) had been used by McKinsey for many years. However, it had a number of problems that were becoming more pronounced over time, and it was fundamentally in need of replacement. Some of these were deficiencies with the test itself, though many were more concerned with how the test fitted with the changing nature of the consulting industry.

The Solve assessment was originally developed and iterated by the specialist firm Imbellus ( now owned by gaming giant Roblox ) to replace the long-standing PST in this screening role and offers solutions to those problems with its predecessor.

We could easily write a whole article on what McKinsey aimed to gain from the change, but the following few points cover most of the main ideas:

• New Challenges: Previously, candidates were largely coming out of MBAs or similar business-focussed backgrounds and the PST’s quickfire business questions were thus perfectly sufficient to select for non-technical generalist consulting roles. However, as consulting projects increasingly call for a greater diversity and depth of expertise, McKinsey cannot assume the most useful talent – especially for technical roles – is going to come with pre-existing business expertise. A non-business aptitude test was therefore required.
• Fairness and the Modern Context: The covid pandemic necessitated at-home aptitude testing. However, even aside from this, online testing dramatically reduces the amount of travel required of candidates. This allows McKinsey to cast a wider net, providing more opportunities to those living away from hub cities, whilst also hugely reducing the carbon footprint associated with the McKinsey selection process.
• Gaming the System: More pragmatically, the Solve assessment is a much harder test to “game” than was the PST, where highly effective prep resources were available and readily allowed a bad candidate with good preparation to do better than a good candidate. The fact that game parameters change for every individual test taker further cuts down the risk of candidates benefitting from shared information. The recent move towards the Redrock version then also helps McKinsey stay ahead of those developing prep resources for the legacy Solve assessment.
• Cost Cutting: A major advantage of scrapping the old pen-and-paper PST is that the formidable task of thinning down McKinsey’s applicant pool can be largely automated. No test rooms and invigilation staff need to be organised and no human effort is required to devise, transport, catalogue and mark papers.

Impress your interviewer

There has been a bit of variation in the games included in the Solve assessment/PSG over the years and what specific form those games take. Imbellus and McKinsey had experimented with whole new configurations as well as making smaller, iterative tweaks over time. That being said, the new 2023 Redrock case studies (seemingly added by McKinsey themselves without Imbellus) are by far the largest change to Solve since that assessment's genesis back in 2017.

Given that innovation seems to continue (especially with the lengthy feedback forms some candidates are being asked to fill in after sitting the newest iteration), there is always the chance you might be the first to receive something new.

However, our surveys of, and interviews with, those taking the Solve assessment - both before and after recent changes - mean we can give you a good idea of what to expect if you are presented with either the legacy or one of the Redrock versions of Solve.

We provide much more detailed explanation of each of the games in our Solve Assessment PDF Guide - including guidance on optimal scenarios to maximise your performance. Here, though, we can give a quick overview of each scenario:

Ecosystem Building

In this scenario, you are asked to assemble a self-sustaining ecosystem in either an aquatic, alpine or jungle environment (though do not be surprised if environments are added, as this should be relatively easy to do without changing the underlying mechanics).

The game requires you to select a location for your ecosystem. Several different options are given, all with different prevailing conditions. You then have to select a number of different plant and animal species to populate a functioning food chain within that location.

In previous versions of the game, you would have had to fit as many different species as possible into a functioning food chain. However, newer iterations of the Solve assessment require a fixed number of eight or, more recently, seven species to be selected.

Species selection isn’t a free-for-all. You must ensure that all the species you select are compatible with one another - that the predator species you select are able to eat the prey you have selected for them etc. All the species must also be able to survive in the conditions prevailing at the location you have selected.

So far, this sounds pretty easy. However, the complexity arises from the strict rules around the manner and order in which the different species eat one another. We run through these in detail in our guide, with tips for getting your food chain right. However, the upshot is that you are going to have to spend some significant time checking your initial food chain - and then likely iterating it and replacing one or more species when it turns out that the food chain does not adhere to the eating rules.

Once you have decided on your food chain, you simply submit it and are moved on to the next game. In the past, test takers were apparently shown whether their solution was correct or not, but this is no longer the case.

Test takers generally report that this game is the easier of the two, whether it is paired with the Plant Defence game in the legacy Solve or the Redrock case study in the new version. Candidates will not usually struggle to assemble a functioning ecosystem and do not find themselves under enormous time pressure. Thus, we can assume that process scores will be the main differentiator between individuals for this component of the Solve assessment.

For ideas on how to optimise your process score for this game, you can see our PDF Solve guide .

Plant Defence

As mentioned, this game has been replaced with the Redrock case study in the new newer version of the Solve assessment, rolled out from Spring 2023 and further iterated in Summer 2023. However, you might still be asked to sit the legacy version, with this game, when applying to certain offices - so you should be ready for it!

This scenario tasks you with protecting an endangered plant species from invasive species trying to destroy it.

The game set-up is much like a traditional board game, with play taking place over a square area of terrain divided into a grid of the order of 10x10 squares.

Your plant is located in a square near the middle of the grid and groups of invaders - shown as rats, foxes or similar - enter from the edges of the grid before making a beeline towards your plant.

Your job then is to eliminate the invaders before they get to your plant. You do this by placing defences along their path. These can be terrain features, such as mountains or forests, that either force the invaders to slow down their advance or change their path to move around an obstacle. To actually destroy the invaders though, you use animal defenders, like snakes or eagles, that are able to deplete the groups of invaders as they pass by their area of influence.

Complication here comes from a few features of the game. In particular:

• You are restricted in terms of both the numbers of different kinds of defenders you can use and where you are allowed to place them. Thus, you might only have a couple of mountains to place and only be allowed to place these in squares adjacent to existing mountains.
• The main complication is the fact that gameplay is not dynamic but rather proceeds in quite a restricted turnwise manner. By this, we mean that you cannot place or move around your defences continuously as the invaders advance inwards. Rather, turns alternate between you and invaders and you are expected to plan your use of defences in blocks of five turns at once, with only minimal allowance for you to make changes on the fly as the game develops.

The plant defence game is split into three mini-games. Each mini-game is further split into three blocks of five turns. On the final turn, the game does not stop, but continues to run, with the invaders in effect taking more and more turns whilst you are not able to place any more defences or change anything about your set-up.

More and more groups of invaders pour in, and your plant will eventually be destroyed. The test with this “endgame” is simply how many turns your defences can stand up to the surge of invaders before they are overwhelmed.

As opposed to the Ecosystem Building scenario, there are stark differences in immediate candidate performance - and thus product score - in this game. Some test takers’ defences will barely make it to the end of the standard 15 turns, whilst others will survive 50+ turns of endgame before they are overwhelmed.

In this context, as opposed to the Ecosystem Building game typically preceding it, it seems likely that product score will be the primary differentiator between candidates.

We have a full discussion of strategies to optimise your defence placement - and thus boost your product score - in our Solve guide .

Redrock Case Study

This is the replacement for the Plant Defence game in the newest iteration of Solve.

One important point to note is that, where the Solve assessment contains this case study, you have a strict, separate time limit of 35 minutes for each half of the assessment. You cannot finish one game early and use the extra time in the other, as you could in the legacy Solve assessment.

McKinsey has had significant issues with this case study, with test takers noting several major problems. In particular:

• Glitches/crashes - Whilst the newest, Summer 2023 version seems to have done a lot to address this issue, many test takers have had the Redrock case crash on them. Usually, this is just momentary and the assessment returns to where it was in a second or two. If this happens to you, try to just keep calm and carry on. However, there are reports online of some candidates having the whole Solve assessment crash and being locked out as a result. If this happens, contact HR.
• Poor interface - Even where there are no explicit glitches, users note that several aspects of the interface are difficult to use and/or finicky, and that they generally seem poorly designed compared to the older Ecosystem Building game preceding it. For example, test takers have noted that navigation is difficult or unclear and the drag and drop feature for data points is temperamental - all of this costing precious time.
• Confusing language - Related to the above is that the English used is often rather convoluted and sometimes poorly phrased. This can be challenging even for native English speakers but is even worse for those sitting Solve in their second language. It can make the initial instructions difficult to understand - compounding the previous interface problem. It can also make questions difficult, requiring a few readings to comprehend.
• Insufficient time - Clearly, McKinsey intended for Redrock to be time pressured. Whilst the newest, Summer 2023 iteration of the Redrock case seems slightly more forgiving in this regard, time is still so scarce that many candidates don't get through all the questions. This is plainly sub-optimal for McKinsey - as well as being stressful and disheartening for candidates. We would expect further changes to be made to address this issue in future.

McKinsey are clearly aware of these issues, as even those sitting the new version of Redrock have been asked to complete substantial feedback surveys. Do note, then, that this raises the likelihood of further changes to the Redrock case study in the near term - meaning you should always be ready to tackle something new.

For the time being, though, we can take you through the fundamentals of the current version of the Redrock case study. For more detail, see our freshly updated PDF Guide .

The Scenario

Whilst changes to the details are likely in future, the current Redrock case study is set on the Island of Redrock. This island is a nature reserve with populations of various species, including wolves, elk and several varieties of plant.

In the original Redrock case, it is explained that the island's wolves are split into four packs, associated with four geographical locales. These packs predate the elk and depend upon them for food, such that there is a dynamic relationship between the population numbers of both species. Your job is to ensure ecological balance by optimising the numbers of wolves in the four packs, such that both wolves and elk can sustainably coexist.

In the newer iteration of the case, first observed in Summer 2023, you are asked to assess which, if any, of three possible strategies can successfully boost the island's plant biodiversity by a certain specified percentage. Plants here are segmented into grasses, trees and shrubs.

The Questions

The Redrock case study's questions were initially split into three sections, but a fourth was added later. These sections break down as follows:

• Investigation - Here, you have access to the full description of the case, with all the data on the various animal populations. Your task is to efficiently extract all the most salient data points and drag-and-drop them to your "Research Journal" workspace area. This is important, as you subsequently lose access to all the information you don't save at this stage.
• Analysis - You must answer three numerical questions using information you saved in the Investigation section. This can include you dragging and dropping values to and from an in-game calculator.
• Report - Formerly the final section, you must complete a pre-written report on the wolf populations or plant biodiversity levels, including calculating numerical values to fill in gaps and using an in-game interface to make a chart to illustrate your findings. You will leverage information saved in the Investigation section, as well as answers calculated in the Analysis section.
• Case Questions - This section adds a further ten individual case questions. These are wolf-themed, so are thematically similar to the original Redrock case, but are slightly incongruous with the newer, plant-themed version of Redrock. In both instances, though, these questions are entirely separable from the main case preceding them, not relying on any information from the previous sections. The ten questions are highly quantitative and extremely time pressured. Few test takers finish them before being timed out.

This is a very brief summary - more detail is available in our PDF Guide .

Other Games - Disease and Disaster Identification

There have been accounts of some test takers being given a third game as part of their Solve assessment. At time of writing, these third games have always been clearly introduced as non-scored beta tests for Imbellus to try out potential new additions to the assessment. However, the fact that these have been tested means that there is presumably a good chance we’ll see them as scored additions in future.

Notably, these alternative scenarios are generally variations on a fairly consistent theme and tend to share a good deal of the character of the Ecosystem Building game. Usually, candidates will be given a whole slew of information on how an animal population has changed over time. They will then have to wade through that information to figure out either which kind of natural disaster or which disease has been damaging that population - the commonality with the Ecosystem Building game being in the challenge of dealing with large volumes of information and figuring out which small fraction of it is actually relevant.

Join thousands of other candidates cracking cases like pros

What does the solve assessment test for.

Whilst information on the Solve assessment can be hard to come by, Imbellus and McKinsey have at least been explicit on what traits the test was designed to look for. These are:

• Critical Thinking : making judgements based on the objective analysis of information
• Decision Making : choosing the best course of action, especially under time pressure or with incomplete information
• Metacognition : deploying appropriate strategies to tackle problems efficiently
• Situational Awareness : the ability to interpret and subsequently predict an environment
• Systems Thinking : understanding the complex causal relationships between the elements of a system

Equally important to understanding the raw facts of the particular skillset being sought out, though, is understanding the very idiosyncratic ways in which the Solve assessment tests for these traits.

Let's dive deeper:

Process Scores

Perhaps the key difference between the Solve assessment and any other test you’ve taken before is Imbellus’s innovation around “process scores”.

To explain, when you work through each of the games, the software examines the solutions you generate to the various problems you are faced with. How well you do here is measured by your “product score”.

However, scoring does not end there. Rather, Solve's software also constantly monitors and assesses the method you used to arrive at that solution. The quality of the method you used is then captured in your “process score”.

To make things more concrete here, if you are playing the Ecosystem Building game, you will not only be judged on whether the ecosystem you put together is self-sustaining. You will also be judged on the way you have worked in figuring out that ecosystem - presumably, on how efficient and organised you were. The program tracks all your mouse clicks and other actions and will thus be able to capture things like how you navigate around the various groups of species, how you place the different options you select, whether you change your mind before you submit the solution and so on.

You can find more detail on these advanced aspects of the Solve assessment and the innovative work behind it in the presentation by Imbellus founder Rebecca Kantar in the first section of the following video:

Compared to other tests, this is far more like the level of assessment you face from an essay-based exam, where the full progression of your argument towards a conclusion is marked - or a maths exam, where you are scored on your working as well as the final answer (with, of course, the major advantage that there is no highly qualified person required to mark papers).

Clearly, the upshot of all this is that you will want to be very careful how you approach the Solve assessment. You should generally try to think before you act and to show yourself in a very rational, rigorous, ordered light.

We have some advice to help look after your process scores in our PDF Guide to the McKinsey Solve Assessment .

A Different Test for Every Candidate

Another remarkable and seriously innovative aspect of the Solve assessment is that no two candidates receive exactly the same test.

Imbellus automatically varies the parameters of their games to be different for each individual test taker, so that each will be given a meaningfully different game to everyone else’s.

Within a game, this might mean a different terrain setting, having a different number of species or different types of species to work with or more or fewer restrictions on which species will eat which others.

Consequently, even if your buddy takes the assessment for the same level role at the same office just the day before you do, whatever specific strategy they used in their games might very well not work for you.

This is an intentional feature designed to prevent test takers from sharing information with one another and thus advantaging some over others. At the extreme, this feature would also be a robust obstacle to any kind of serious cheating.

To manage to give every candidate a different test and still be able to generate a reliable ranking of those candidates across a fundamental skillset, without that test being very lengthy, is a considerable achievement from Imbellus. At high level, this would seem to be approximately equivalent to reliably extracting a faint signal from a very noisy background on the first attempt almost every time.

(Note that we are yet to confirm to what extent and how this also happens with the new Redrock case studies, but it seems to be set up to allow for easy changes to be made to the numerical values describing the case, so we assume there will be similar, widespread of variation.)

Preparation for the McKinsey Solve assessment

Understanding what the Solve assessment tests for immediately begs the question as to whether it is possible to usefully prepare and, if so, what that preparation should look like.

Is it Really Possible to Prepare for the McKinsey Solve Assessment?

In short, yes you can - and you should!

As noted previously, there has been a lot of disagreement over whether it is really possible to prep for the Solve assessment in a way that actually makes a difference.

Especially for the legacy version, there has been a widespread idea that the Solve assessment functions as something like an IQ test, so that preparation beyond very basic familiarisation to ensure you don’t panic on test day will not do anything to reliably boost your scores (nobody is going to build up to scoring an IQ of 200 just by doing practice tests, for example).

This rationale says that the best you can do is familiarise yourself with what you are up against to calm your nerves and avoid misunderstanding instructions on test day. However, this school of thought says there will be minimal benefit from practice and/or skill building.

The utility of preparation has become a clearer with the addition of the Redrock case study to the new version of Solve. Its heavily quantitative nature, strong time pressure and structure closely resembling a traditional business case make for a clearer route to improvement.

However, as we explain in more detail in our PDF guide to the Solve assessment, the idea that any aspect of either version of Solve can't be prepared for has been based on some fundamental misunderstandings about what kind of cognitive traits are being tested. Briefly put, the five key skills the Solve assessment explicitly examines are what are known as higher-order thinking skills.

Crucially, these are abilities that can be meaningfully built over time.

McKinsey and Imbellus have generally advised that you shouldn’t prepare. However, this is not the same as saying that there is no benefit in doing so. McKinsey benefits from ensuring as even a playing field as possible. To have the Solve test rank candidates based purely on their pre-existing ability, they would ideally wish for a completely unprepared population.

How to prep

We discuss how to prep for the Solve assessment in full detail in our PDF guide . Here, though, we can give you a few initial pointers to get you started. In particular, there are some great ways to simulate different games as well as build up the skills the Solve assessment tests for.

Playing video games is great prep for the legacy Solve assessment in particular, but remains highly relevant to the new Redrock version.

Contrary to what McKinsey and Imbellus have said - and pretty unfortunately for those of us with other hobbies - test takers have consistently said that they reckoned the Problem Solving Game, and now the Solve assessment, favours those with strong video gaming experience.

If you listened when your parents told you video games were a waste of time and really don’t have any experience, then putting in some hours on pretty much anything will be useful. However, the closer the games you play are to the Solve scenarios, the better. We give some great recommendations on specific games and what to look for more generally in our Solve guide - including one free-to-play game that our clients have found hugely useful as prep for the plant defence game!

PST-Style Questions

The inclusion of the Redrock case studies in the new version of Solve really represents a return to something like a modernised PST. Along with the similar new BCG Casey assessment, this seems to be the direction of travel for consulting recruitment in general.

Luckily, this means that you can leverage the wealth of existing PST-style resources to your advantage in preparation.

Our PST article - which links to some free PST questions and our full PST prep resources - is a great place to start. However, better than old-fashioned PDF question sets are the digital PST-style questions embedded in our Case Academy course . Conducted online with a strict timer running, these are a much closer approximation of the Solve assessment itself. These questions are indeed a subset of our Case Academy course, but are also available separately in our Course Exercises package .

Quick Mathematics With a Calculator and/or Excel

Again, specifically for the Redrock assessment, you will be expected to solve math problems very quickly. The conceptual level of mathematics required is not particularly high, but you need to know what you are doing and get through it fast using a calculator nand/or Excel, if you are already comfortable with that program.

Our article on consulting math is a great place to start to understand what is expected of you throughout the recruiting process, with our consulting math package (a subset of our Case Academy course) providing more in-depth lessons and practice material.

Learn to Solve Case Studies

With the Redrock case studies clearly being ecology-themed analogues to standard business case studies, it's pretty obvious that getting good at case studies will be useful.

However, the Solve assessment as a whole is developed and calibrated to be predictive of case interview performance, so you can expect that improving your case solving ability will indirectly bring up your performance across the board.

Of course, this overlaps with your prep for McKinsey's case interviews. For more on how to get started there, see the final section of this article.

Learning About Optimal Strategies for the Games

The first thing to do is to familiarise yourself with the common game scenarios from the Solve assessment and how you can best approach them to help boost your chances of success.

Now, one thing to understand is that, since the parameters for the games change for each test taker, there might not be a single definitive optimal strategy for every single possible iteration of a particular game. As such, you shouldn’t rely on just memorising one approach and hoping it matches up to what you get on test day.

Instead, it is far better to understand why a strategy is sensible in some circumstances and when it might be better to do something else instead if the version of the game you personally receive necessitates a different approach.

In this article, we have given you a useful overview of the games currently included in the Solve assessment. However, a full discussion with suggested strategies is provided in our comprehensive Solve guide .

With the limited space available here, this is only a very brief sketch of a subset of the ways you can prep.

As noted, what will help with all of these and more is reading the extensive prep guidance in our full PDF guide to the Solve assessment...

The MCC Solve Assessment Guide

Preparing for the Solve assessment doesn’t have to be a matter of stumbling around on your own. This article is a good introduction. From here, though our new, updated PDF guide to the McKinsey Solve assessment is your first stop to optimise your Solve preparation.

This guide is based on our own survey work and interviews with real test takers, as well as iterative follow-ups on how the advice in previous editions worked out in reality.

Does it make sense to invest in a guide?

Short answer: yes. If you just think about the financials, a job at McKinsey is worth millions in the long run. If you factor in experience, personal growth and exit opportunities, the investment is a no-brainer.

How our guide can help you ace the test

Don't expect some magic tricks to game the system (because you can't), but rather an in-depth analysis of key areas crucial to boost your scores. This helps you to:

As noted, the guide is based on interviews with real recent test takers and covers the current games in detail. Being familiar with the game rules, mechanics and potential strategies in advance will massively reduce the amount of new information you have to assimilate from scratch on test day, allowing you to focus on the actual problems at hand.

Despite the innovative environment, the Solve assessment tests candidates for the same skills evaluated in case interviews, albeit on a more abstract level. Our guide breaks these skills down and provides a clear route to develop them. You also benefit from the cumulative experience of our clients, as we have followed up to see which prep methods and game strategies were genuinely helpful.

A clear plan of how to prepare is instrumental for success. Our guide includes a detailed, flexible preparation strategy, leveraging a whole host of diverse prep activities to help you practice and build your skills as effectively as possible. Importantly, our guide helps you prioritise the most effective aspects of preparation to optimise for whatever timeframe you have to work in.

Overall, the MyConsultingCoach Solve guide is designed to be no-nonsense and straight to the point. It tells you what you need to know up front and - for those of you in a hurry - crucial sections are clearly marked to read first to help you prep ASAP.

For those of you starting early with more time to spare, there is also a fully detailed, more nuanced discussion of what the test is looking for and how you can design a more long-term prep to build up the skills you need - and how this can fit into your wider case interview prep.

Importantly, there is no fluff to bulk out the page count. The market is awash with guides at huge page counts, stuffed full of irrelevant material to boost overall document length. By contrast, we realise your time is better spent actually preparing than ploughing through a novel.

If this sounds right for you, you can purchase our PDF Solve guide here:

McKinsey Solve Assessment Guide

• Full guide to both the legacy version of the Solve assessment and the newer Redrock Case Study versions
• In-depth description of the different games and strategies to beat them
• Preparation strategies for the short, medium and long-term prep
• No fluff - straight to the point, with specific tips for those without much time
• Straight to your inbox
• 30 days money-back guarantee, no questions asked. Simply email us and we will refund the full amount.

The Next Step - Case Interviews

So, you pour in the hours to generate an amazing resume and cover letter. You prepare diligently for the Solve assessment, going through our PDF guide and implementing all the suggestions. On test day, you sit down and ace Solve. The result is an invitation to a live McKinsey case interview.

Now the real work begins…

Arduous as application writing and Solve prep might have seemed, preparing for McKinsey case interviews will easily be an order of magnitude more difficult.

Remember that McKinsey tells candidates not to prepare for Solve - but McKinsey explicitly expects applicants to have rigorously prepared for case interviews .

The volume of specific business knowledge and case-solving principles, as well as the sheer complexity of the cases you will be given, mean that there is no way around knuckling down, learning what you need to know and practicing on repeat.

If you want to get through your interviews and actually land that McKinsey offer, you are going to need to take things seriously, put in the time and learn how to properly solve case studies.

Unfortunately, the framework-based approach taught by many older resources is unlikely to cut it for you. These tend to falter when applied to difficult, idiosyncratic cases - precisely the kind of case you can expect from McKinsey!

The method MCC teaches is based specifically on the way McKinsey train incoming consultants. We throw out generic frameworks altogether and show you how to solve cases like a real management consultant on a real engagement.

You can start reading about the MCC method for case cracking here . To step your learning up a notch, you can move on to our Case Academy course .

To put things into practice in some mock interviews with real McKinsey consultants, take a look at our coaching packages .

And, if all this (rightfully) seems pretty daunting and you’d like to have an experienced consultant guide you through your whole prep from start to finish, you can apply for our comprehensive mentoring programme here .

Looking for an all-inclusive, peace of mind program?

Our comprehensive packages.

Get our Solve guide for free if you purchase any of the following packages. Just email us with your order number and we will send the guide straight to your inbox.

Access to our Case Academy and to coaching will help you prepare for Solve and for the following rounds!

The MCC bundle

• All Case Interview Course Videos
• All Case Interview Course Exercises
• All Fit Interview Course Videos
• All case interview self-assessment modules
• Available on all devices
• Premium support for questions
• Lifetime access

Bridge to Consulting

• 5 one-hour sessions with ex-MBB (McKinsey/Bain/BCG) coach of your choice
• Session personalisation (skill level and preparation stage)
• Choice of interview format (Fit, Case or Both)
• AI-powered performance benchmarking, skill-gap assessment and actionable feedback through your Dashboard
• Full Access to Case Academy (Course, Exercises, Self-Assessments, Fit and Math)
• McKinsey Digital Assessment Guide
• All our PST material

Case Interview Course

• 16+ hours of lectures  covering  all aspects of the case interview
• Introduction to the consulting interview
• Case Interview foundations section 
• Problem Driven Approach
• Building blocks 
• Efficiency tools
• Problem driven structure in action
• Roadmap for preparation planning

Account not confirmed

• The 1%: Conquer Your Consulting Case Interview
• Consulting Career Secrets
• Cover Letter & Resume
• McKinsey Solve Game (Imbellus)
• BCG Online Case (+ Pymetrics, Spark Hire)
• Bain Aptitude Tests (SOVA, Pymetrics, HireVue)
• Kearney Recruitment Test
• BCG Cognitive Test Practice
• All-in-One Case Interview Preparation
• Industry Cheat Sheets
• Structuring & Brainstorming
• Data & Chart Interpretation
• Case Math Mastery
• McKinsey Interview Academy
• Brainteasers

McKinsey Solve Game (2024): How to Prepare and Ace the Imbellus

Last Updated on May 21, 2024

The McKinsey Solve Game, previously known as the McKinsey Problem Solving Game, Digital Assessment, or informally as ‘the Imbellus’, serves as a pivotal tool for the renowned consulting firm in evaluating prospective candidates. This assessment is utilized in tandem with the infamous case interviews and personal experience interviews (PEI) .

For those wondering how to prepare for McKinsey’s digital problem-solving game, this article breaks down the key areas to focus on for enhanced performance. In this comprehensive guide, we delve into the nuances of McKinsey Solve Game preparation, providing you with the latest strategies to ace the assessment.

It’s important to mention that we consistently update this article with the latest and most relevant information. Initially published in May 2019, our coverage was a pioneering global insight into the Solve Game, even during its beta testing phase. Our most recent update to this article was in mid-May 2024, ensuring you have the most current insights at your fingertips.

History of the McKinsey Imbellus Solve Game

Developed in collaboration with Imbellus and psychologists from UCLA Cresst, the McKinsey Solve Game invites candidates to engage in a series of stimulating scenarios. This immersive experience is a precursor to embarking on a career with McKinsey, demanding a well-thought-out Imbellus Game strategy.

The game challenges players to create sustainable ecosystem simulations within diverse environments such as reefs, mountain ridges, or jungles. Additionally, participants assume the role of a researcher, analyzing animal populations. In an earlier version of the game, your focus was on protecting plant species from invaders in a tower-defense-like game. This immersive experience is a precursor to embarking on a career with McKinsey.

When this game-based assessment was introduced by the world’s leading consulting firms four years ago, it created a significant buzz in the consulting industry for two primary reasons. Firstly, the Solve Game marked a departure from traditional recruitment methods by incorporating an actual computer game. This represented a shift from the conventional Problem Solving Test (PST), a pen-and-paper test designed to gauge candidates’ abilities to solve business problems under time constraints. Secondly, McKinsey’s stance that the game’s nature makes it impervious to specific preparation strategies initially left applicants feeling uncertain about how to best approach the assessment. This was a notable change for applicants accustomed to preparing for weeks or sometimes even months to tackle their case interviews.

Quick reality check…

However, it soon became evident that the consulting firm recruitment game was not impervious to preparation and strategy. McKinsey’s claim was more of a strategic marketing move. Our interviews with some of the first candidates who participated in the initial Imbellus Test in London in November 2019 revealed insightful feedback. This was the first instance where the Solve Game was employed as a formal part of the recruitment process beyond its beta testing phase. These early test-takers made it clear that with a better understanding of the game’s format and the skills it assessed, they could have performed more effectively. Several candidates had even prepared for the PST, not anticipating any changes in the assessment approach. They were informed about the switch to the Solve Game merely a week in advance.

Leveraging this feedback and using their dissatisfaction as a starting point, we collaborated with experts in the field and continued to gather insights from test-takers across various countries. This collective input allowed us to develop effective preparation strategies and gameplay techniques to play the games successfully.

What we found is that – in contrast to McKinsey’s initial messaging – it’s indeed possible to prepare effectively for this assessment. Adopting the right strategies for each game segment can quickly enhance relevant skills, as evidenced by our candidates’ significant performance improvements compared to their peers, thanks to these McKinsey digital assessment tips. Adopting the right strategies for each game segment can quickly enhance relevant skills, as evidenced by our candidates’ significant performance improvements

This article aims to provide a comprehensive guide to mastering the Solve Game. We’ll cover five key areas:

• Understanding McKinsey’s motivation for transitioning from the traditional Problem Solving Test to a gamified assessment, and what this means for you.
• Introducing and examining all six games included in the assessment, along with variations reported by test-takers.
• Clarifying the actual skills assessed, extending beyond the official communications.
• Detailing preparation methods, exercises, and tools to elevate your performance.
• Offering insights into effective test-taking strategies to facilitate Imbellus game skills development and maximize results

For those seeking thorough preparation, we offer a detailed preparation package including (with instant access):

• 147-page Problem Solving Game Guide
• Excel Solver tool for the Ecosystem Game with ecosystem game strategies
• 14 videos that dissect every aspect of the games, including game-winning strategies.
• Complimentary 14-page primer for McKinsey case and PEI interviews
• McKinsey game practice tests

StrategyCase.com was the pioneer in providing detailed analysis of this new assessment type, backed by authentic firsthand information. This has allowed us to continuously refine our insights based on feedback from our extensive customer base. The program has gone through 20 iterations, last updated in February 2024, and incorporates feedback from over 500 test-takers and several game designers.

We launched our original program at the end of November 2019 and have since been updating it regularly to maintain its relevance and accuracy, distinguishing ourselves from others who have merely replicated our content. To date, more than 8500 applicants  from over 70 nations have used the guide to prepare for their Imbellus. 

Our McKinsey Solve Game Preparation Package

Elevate your Solve Game score with the original game guide, a 14-part video course, an Excel Solver tool, and Red Rock practice tests. Trusted by more than 8,500 customers from 70+ countries since November 2019.

Introduction of the McKinsey Solve Game

“Imagine yourself in a beautiful, serene forest populated by many kinds of wildlife. As you take in the flora and fauna, you learn about an urgent matter demanding your attention: the animals are quickly succumbing to an unknown illness. It’s up to you to figure out what to do—and then act quickly to protect what you can.” McKinsey & Company

Sounds exciting? Well,…you be the judge.

As a consultant with McKinsey or any other top-tier consulting firm, you often find yourself in situations where you must save the day. On an abstract level, the game simulates exactly this reality. While your consulting career mostly relates to strategy engagements with Fortune 500 companies, McKinsey chooses the environmental scenarios deliberately. More on that in a second.

Traditionally, the McKinsey way of hiring candidates was through the following funnel:

• Screening: Your consulting resume and cover letter are screened based on a number of filters
• Problem Solving Test: A 60-minute pen-and-paper test, covering 26 business-related questions
• Consulting Interview Round 1 : 2 to 3 business case and personal experience interviews
• Consulting Interview Round 2: another 1 to 3 interviews depending on the region (Rounds 1 and 2 can be on the same day in some offices)

With the introduction of the Problem Solving Game (PSG), the Problem Solving Test (PST) was on its way out.

So, why would McKinsey replace a time-tested screening tool, which has evaluated hundreds of thousands of applicants, with a computer game? The reasons are threefold, reflecting McKinsey’s typical approach:

The answer is quite simple and – as ever so often in the McKinsey world – threefold:

• To  attract new talent  and new types of consultants.
• To have an assessment  tool that is agnostic  (in theory)  of people’s backgrounds .
• To have a lower-cost program (in the long run) to  assess a greater amount of candidates .

The Firm is employing the Solve Game to take into account the changes that every consulting firm faces: Changes in its client base, new types of problems the clients face, and its evolution through organic growth and acquisitions. New problems of clients require a new type of consulting workforce. The typical McKinsey career has changed. Hence, McKinsey is investing heavily in the recruitment of new types of talent, including data scientists, implementation practitioners, IT experts, product and digital designers, as well as software developers in addition to their generalist consulting roles. A digital test is only logical when hiring digital natives.

Above, we teased the environmental abstraction of the game tasks. What is that all about? McKinsey stresses that to perform well in the different games, no prior knowledge and preparation is needed or beneficial (contrary to the PST). The natural context should be easily accessible for every possible candidate, regardless of their background. The PST was geared more towards business majors and quant-heavy degrees, evaluating candidates with a simple pen-and-paper test. With the Solve Game, McKinsey has created a much more complex assessment tool to avoid any biases related to a candidate’s culture, experience, or background. Why this is a fallacy and just introduces new types of biases, a bit further down on this page…

Lastly, McKinsey is receiving several hundred thousand applications every year. Can you imagine going through all of them and dedicating proper resources to every single one of them? No? Right, because neither can McKinsey. High-level screening algorithms decide what consulting cover letter and resume gets screened by a human and even then, many candidates are quickly sorted out. As a result, many potentially talented individuals do not make the cut. The Solve Game attacks this issue from two ends.

Administering the Imbellus Game to one additional candidate comes with almost zero additional cost for the Firm. The assessment can be taken from home (in most cases) and does not block many recruitment resources from the local office. It is part of a streamlined and automated process ( sounds exactly like what a top-tier management consulting firm would do, eh? ). For the PST, on the other hand, candidates had to go to the office to take the test, blocking many resources in the process. Second, with a negligible marginal cost for one additional test-taker, more people can be evaluated and potentially deemed ‘worthy’ of moving on to the interview rounds, even if their resume lacked some important metric that was relevant to the old screening algorithm.

To hit those three points, McKinsey hired Imbellus (which has since been acquired by Roblox ) to develop the different games of the Solve Game, a company that claims to reinvent how we measure human potential. A bold claim.

Does the Solve Game live up to this claim and fill its new role as a screening device for applicants?

If you want to learn more about McKinsey’s rationale for the Solve Game, Fortune spoke with Katy George, McKinsey & Company’s chief people officer, regarding the impact of prevailing labor market trends on the consulting firm’s talent strategy.

The Firm wanted to change its talent recruitment strategy to align with current labor market trends. Shifting its focus from prestigious educational backgrounds to the potential and diverse skill sets of candidates, McKinsey now recruits from a broader range of educational institutions, increasing its outreach from 700 to about 1,500 schools, with plans to expand to 5,000. This approach supports the “paper ceiling” movement, valuing talent over formal qualifications.

To support this move, McKinsey developed the video game ‘Solve’ to attract a wider pool of applicants, including tech talent. This evaluation has reached over 150,000 candidates in the first two years of the game’s introduction, highlighting the game’s role in identifying talent with varied backgrounds, particularly in technology.

The Role of the McKinsey Solve Game

As a candidate, the Solve Game immerses you in several digital, scenario-based assessments, designed to understand and measure how you approach and solve problems, basically putting you in situations that McKinsey consultants face every day. This approach diverts significantly from other well-known testing formats such as the PST or the BCG Online Case , which test problem-solving skills in a business context.

A Digital Case Interview with Twists and Turns

The Imbellus replaces the McKinsey Problem Solving Test (which has been discontinued in several offices such as Germany and Austria years ago due to the bias it introduced –   business majors usually got much higher scores).

While the PST is useful when gathering information about a candidate’s problem-solving skills, it introduces a bias toward candidates who are familiar with business problems. Since it favors business major backgrounds, it is not in line with McKinsey looking to expand its hiring base. Also, the PST does not allow for understanding how the candidates arrived at a solution. The Imbellus Assessment allows McKinsey to get both a product score, evaluating how good your solution is, and a process score, providing insights into your problem-solving prowess and approach.

By changing this part of the recruiting process and introducing an abstracted digital assessment, McKinsey hopes to gauge applicants’ cognitive abilities in a bias-free environment while at the same time collecting way more data points on them.

The Format of McKinsey Solve Game

The Imbellus Solve Game has evolved to a format where candidates engage in two out of six available mini-games within a 70-minute timeframe. This represents a change from previous versions, which allotted up to 81 minutes for gameplay. According to our data and surveys, every candidate since March 2023 has participated in a version of the Ecosystem Creation game and the Red Rock Study game. Notably, since the end of February 2023, the Plant Defense game, previously a consistent element of the assessment, has not been featured.

This setup emphasizes effective time management, as candidates must ensure completion of both games within the allocated time, 35 minutes for each.

In the following sections, we will provide an in-depth analysis of each game, outlining various strategies and techniques to efficiently manage time and maximize performance.

The Scoring of the Solve Game

The essence of the Imbellus test aligns closely with the conventional approach of consulting cases and interviews. It demands the identification of a problem, gathering and analyzing data, making informed decisions under time constraints and with incomplete information, and then crafting actionable recommendations. Essentially, the test is designed to assess problem-solving skills, but it does so in an online format, leveraging sophisticated algorithms.

Data on the test’s efficacy indicates that a candidate’s performance in the Imbellus problem-solving simulation is a reliable predictor of their likelihood to receive an offer following the case interviews. This predictive accuracy is reportedly superior to that of the traditional Problem Solving Test (PST). Further details and specific data on these outcomes will be discussed in subsequent sections.

The McKinsey Solve Game is tailored to evaluate candidates’ skills in scenarios that mimic real-life situations, going beyond what can be inferred from a consulting cover letter or resume. It scrutinizes candidates’ problem-solving approaches, their creativity in tackling tasks, and their overall thought processes. Specifically, the game is designed to assess:

• Problem identification : The ability to accurately discern the core problem that needs resolution.
• Analysis of information : Skill in sourcing and scrutinizing information from diverse channels.
• Strategic solution development : Competence in formulating and methodically testing hypotheses to solve the problem.
• Conclusion and decision making : Aptitude for drawing appropriate conclusions and making informed decisions.
• Adaptability : Agility in responding to evolving situations or changing parameters.
• Quantitative reasoning: With the introduction of the Red Rock game, McKinsey now also evaluates how effectively candidates can comprehend, process, and apply quantitative data in problem-solving scenarios.

To effectively measure these attributes, McKinsey and Imbellus use a dual-scoring system:

• Product Score:  This evaluates the quality of the outcome achieved. Did you complete the game objectives, like creating a sustainable ecosystem, providing the correct outcomes for your analyses, or protecting the plant?
• Process Score:  This score reflects the method and strategy used to achieve the outcome. It tracks every interaction, including over 100 different variables during gameplay. Factors like apparent nervousness or the execution of a logical plan are considered.

The implications of this sophisticated scoring system for new candidates are multifaceted:

For candidates, the McKinsey Solve Game’s scoring system has significant implications. It means that the assessment isn’t just about reaching the correct outcome, but also about how you get there. This dual focus on both product and process offers a more holistic evaluation of a candidate’s abilities.

• Holistic assessment : Candidates are evaluated on their results and the strategies they employ. This approach rewards not only correct outcomes but also thoughtful, strategic processes.
• Behavior under pressure : The game assesses how candidates perform under pressure, including decision-making speed, adaptability, and handling incomplete information.
• Broader accessibility : Since the game is less reliant on specific business knowledge and more on general problem-solving skills, it potentially opens the door for candidates from diverse academic and professional backgrounds.
• Increased stress : The knowledge that every action is being recorded and analyzed might increase stress levels for some candidates, possibly affecting their performance.

You might think that with such an assessment and with a focus on process, it’s harder for candidates to ‘game’ the system by preparing for specific outcomes. Yet, what we found out over time is that the range of potential outcomes for the Ecosystem game and the types of questions for the Red Rock Study game is very narrow. We have developed strategies and step-by-step approaches to navigate this challenge very well.

Overall, the McKinsey Solve Game represents a shift in how candidates are assessed, placing equal importance on the journey and the destination. For candidates, this means preparing for the game requires a focus on developing the right approach and the ability to remain calm and effective under pressure.

Current Roll-out and Scope of the McKinsey Solve Game

It’s all fun and games until your score actually determines your future McKinsey career.

A frequently asked question from candidates is about the necessity of participating in the Solve Game during their application process. The straightforward answer is that in almost all cases, yes, it’s required.

Initially, the game underwent testing with 5,000 candidates across 20 countries between May 2018 and October 2019, alongside the PST. This phase wasn’t about evaluating candidates; rather, it focused on gathering data, beta testing, and fine-tuning the games. Additionally, McKinsey’s active consultants were invited to play in trial runs, contributing further to the data collection.

As of now, McKinsey has globally implemented the Solve Game for a vast majority of applicant types, aiming to evaluate a larger pool of individuals with more refined metrics. Our internal data indicates that the game has been adopted in virtually every country with a McKinsey office. The comprehensive global deployment was finalized during the 2020 recruiting season, with many key markets initiating the rollout from January to June of that year.

Since 2022, the use of the Solve Game has extended beyond office applications. Candidates are also required to complete the game as a prerequisite for certain recruiting events, such as the McKinsey Women’s Leadership Summit.

In terms of the roles it applies to, the game is obligatory for all practice areas, including Generalist Consulting, Operations and Implementation, Research & Analytics, Digital, among others. The only exception, as of now, appears to be Orphoz , a McKinsey subsidiary specializing in transformations, which has not yet incorporated the Imbellus games.

Additionally, it’s noteworthy that senior and professional hires are often exempt from this requirement.

Timing of the Imbellus in the McKinsey Recruiting Process

Upon successful screening of your consulting cover letter and resume, you’ll be sent an email with a link to the Imbellus assessment. You have the flexibility to choose when to take the test, provided it’s within 7 calendar days of receiving the link, for most candidates.

However, in some offices and regions, you might be notified earlier (up to a month in advance) about your deadline for the test. In certain cases, you might even be required to visit the office for the test, which could coincide with your case interviews.

It’s advisable to begin preparing for the Imbellus as early as possible to develop and refine the skills evaluated in the assessment.

Post-Game Process: Waiting for Results

If you take the test remotely, the notification period to learn if you’ve passed and can proceed to the interview stage typically ranges from 1 to 14 days, though this can vary based on the office and the volume of candidates. The longest wait reported by one of our candidates was two months, an outlier, with the average wait time usually under a week. Some offices in Asia recruit continuously but only finalize decisions on Solve Game results on specific dates, potentially extending wait times. If you need a quicker response due to another job offer, contacting HR can often expedite the process.

If the Imbellus is taken in conjunction with the first round of interviews, such as in Germany, your game performance will be evaluated alongside your interview results. Different offices place varying levels of emphasis on the assessment’s outcome. For some, it’s an additional factor in the initial interview round, while for others, it acts as a crucial gateway to the interviews. Some offices may also weigh the Solve Game results in conjunction with your application and documents, where a strong resume or referral could potentially compensate for an average game performance.

Requirements to Pass the McKinsey Solve Game

After completing the McKinsey Solve Game, you can gauge your performance even before the official notification.

How to assess your performance?

• Ecosystem Game : The key is to know whether the ecosystem you created will survive. A quick completion time can be a positive indicator. Creating a sustainable ecosystem in less than 25 minutes generally suggests a good chance of success. Tools like our Excel Solver in combination with the right strategy can assist in predicting ecosystem survival, enabling you to craft a viable solution in under 20 minutes.
• Red Rock Game : While there’s no explicit benchmark for what constitutes a passing score, drawing parallels from the previous Problem Solving Test’s approximate 70% cutoff, a similar threshold might apply.
• Plant Defense Game : A strong performance typically involves surviving at least 15 turns per round, with higher numbers like 25 or 30 being ideal. We delve into the implications of these benchmarks in more detail later.

The pass rate for the Solve Game is expected to be similar to or slightly lower than that of the PST. Unofficial pass rates circulating for the Solve Game suggest that only around 20% of candidates successfully pass. With thorough preparation and a clear strategy, this success rate can be increased to over 80%.

McKinsey has conducted extensive beta testing with a large pool of applicants and internal staff to fine-tune the Imbellus assessment. Over time, as more candidates become familiar with the test and preparation efforts intensify, we see a trend of score inflation due to better-prepared candidates. In response, Imbellus frequently updates and introduces new games to maintain a level of unpredictability and mitigate the effects of overpreparation.

There is a reason why our current preparation package is already version 20 in just 4 years.

The Skills Assessed by the McKinsey Solve Game

The McKinsey Solve Game, while not requiring specific business knowledge like the traditional pen-and-paper assessments, focuses on evaluating similar cognitive abilities and problem-solving skills in a gamified context. To excel in the game, candidates need to:

• Understand the skills tested : Gain a deep understanding of what each game assesses.
• Learn effective preparation methods : Master the right techniques and strategies to win.

The 8 Core Skills Assessed by Imbellus Games

The games aim to create a comprehensive profile of your skills across various domains. Every keystroke and mouse movement is captured and analyzed to evaluate your performance, which is reflected in both a product score and a process score. The assessment goes beyond just the outcomes; it also focuses on the cognitive dynamics behind your decisions, your adaptability to changing scenarios, and your approach to error correction.

To score well, it’s crucial to optimize both scores and understand the diverse factors influencing the outcomes in each game scenario.

The key skills assessed, which are not officially communicated by either McKinsey or Imbellus, include:

• Critical thinking : Ability to form logical judgments from a set of facts both in the qualitative and quantitative realm.
• Decision making : Skill in choosing the most effective course of action from multiple options.
• Meta-cognition : Using strategies to simplify learning and problem-solving (e.g., hypothesis testing, note-taking).
• Situational awareness : Understanding the interrelationships between various factors and predicting scenario outcomes.
• Systems thinking : Grasping cause-and-effect relationships involving multiple factors and feedback loops, including foreseeing multiple layers of consequences.
• Cognition : The capacity to memorize, process, store, and integrate new information with existing knowledge for later retrieval.
• Adaptability : Flexibility in altering actions and strategies to accommodate new situations or changing conditions.
• Creativity : Inventiveness in developing unique solutions, approaches, and ideas for various problems.

The McKinsey Solve Game employs advanced data science techniques to meticulously track and analyze each candidate’s actions, offering a comprehensive assessment of their abilities. This digital format provides a wealth of insights into candidates’ skills, leveraging the vast amount of data collected and calibrated from thousands of applicants over time.

This digital assessment method enables McKinsey to observe candidates’ thought processes in a manner akin to traditional consulting interviews but with greater efficiency and depth. It’s a sophisticated approach that goes beyond just the outcomes, focusing on understanding how candidates think, analyze, and solve problems in real-time scenarios.

Demonstrating Key Skills in the McKinsey Solve Game

Maximizing your performance in the McKinsey Solve Game involves showcasing a range of skills through your actions and decision-making processes within the game. Here’s how you can demonstrate these essential skills:

• Critical thinking : Exhibit your ability to sift through large datasets, discard irrelevant information, analyze crucial data, and synthesize your findings to devise optimal solutions. This should be done systematically and methodically both for qualitative decisions and quantitative problems.
• Decision making : The game analyzes your decision-making process by tracking the time spent in each game menu and section, and how you form recommendations based on this data.
• Metacognition : While not directly trackable, your choice of paths and tools in navigating the game can reveal your metacognitive strategies – how you process and approach the games.
• Situational awareness : Demonstrate your understanding of the game’s elements, objectives, available options, and time constraints.
• Systems thinking : Show your ability to recognize interdependencies within the game’s parameters, such as aligning the food chain characteristics with the appropriate location in the ecosystem game.
• Adaptability : Particularly important in games like the plant defense game, where you need to adjust to changing scenarios and strategies.
• Cognition : Utilize your skills in memorizing, storing, integrating, and retrieving information as needed throughout the game.
• Creativity : McKinsey values innovative approaches. Display your ability to deviate from conventional methods and find unique solutions to the challenges.

To optimize both your product and process scores, it’s also crucial to have a clear understanding of the various games included in the assessment and their specific requirements. This knowledge allows you to tailor your strategies and approaches effectively to each unique scenario, thereby enhancing your overall performance.

Combine your Solve Game preparation with our McKinsey Interview Academy.

The Current Games of the McKinsey Solve Game

The McKinsey Solve Game typically allocates a total of 70 minutes for completion, dividing this time equally with 35 minutes dedicated to each of the two games. This standard timing, however, has not always been the case. In the past, the duration varied among candidates, ranging from 60 to 81 minutes, depending on the specific requirements of the tasks at hand.

An integral part of the McKinsey Solve Game experience is the inclusion of untimed tutorial sessions before each game. These tutorials are invaluable for candidates, as they provide a detailed introduction to the games, explaining their mechanics and objectives. The length of these tutorials is flexible, allowing candidates to take as much time as needed to fully grasp the concepts and strategies required for the games. This flexibility is particularly beneficial for ensuring a comprehensive understanding of the game’s intricacies.

Once the actual timed games commence, candidates need to be aware that these cannot be paused. This aspect of the game adds a layer of complexity, emphasizing the importance of effective time management. Candidates need to be well-prepared and focused from the start, as the non-pausable nature of the games demands continuous engagement and strategic thinking throughout the allotted time. This dynamic is crucial in testing candidates’ ability to efficiently navigate and solve problems under time constraints.

Focus on Environmental Topics with Many Evolutions

The McKinsey Problem Solving Game, known for its focus on environmental themes, has seen a series of evolutions and variations since its introduction. Originally, the game included two distinct scenarios: Ecosystem Creation and Plant Defense. However, feedback starting from August 2020 suggested changes in these scenarios. Some candidates encountered a variation of the Ecosystem Creation along with the Disease identification game, instead of the usual Plant Defense game. It’s important to note that in these cases, the Disease Identification was not used for scoring but rather for future calibration of the Imbellus test.

In 2021, a new scenario focused on Migration Planning was introduced to the game. Yet, by the end of 2022, indications emerged that this scenario had been discontinued. McKinsey’s approach to introducing new games and variations appears strategic and careful. Over the last three years, six different games have been featured in the assessment. However, consistent with McKinsey’s methodology in their consulting interviews, the introduction of new scenarios or variations of existing games is primarily for beta testing and calibration. These new elements are not immediately used to evaluate candidates but to ensure consistency in results and skill assessments over time.

As of March 2023, the two scenarios that candidates face are the Ecosystem Creation and the Red Rock Study Game. Every candidate since then has encountered these games, making them the current standard in the Problem Solving Game.

Watch this space as we always update the article and our preparation package as soon as the next evolution is launched by McKinsey.

Let’s take a deeper look at the different games.

Ecosystem Creation

The Ecosystem game, often referred to as the Ecosystem Building or Ecosystem Creation game, has been a cornerstone of the McKinsey Problem Solving Game. It is the only game that is still part of the Solve Game lineup since the very beginning, albeit with a couple of minor variations.

We’ll explore proven strategies to succeed in the Imbellus Ecosystem Simulation, highlighting how to effectively balance your ecosystem.

In this game, you are placed on an island (either in the reef, the jungle, or on a mountain ridge) and tasked with establishing a sustainable ecosystem in a chosen location. The primary objectives are twofold:

• Create a sustainable chain : You need to select 8 species out of 39 that together form a sustainable ecosystem.
• Find a suitable location : Determine the best location for this ecosystem on a map.

These tasks must be completed within a 35-minute timeframe.

The game begins with a tutorial that is untimed, providing an opportunity to understand the game mechanics.

At the core, the game is an optimization problem. You will be confronted with an overload of different data points (similar to the McKinsey Problem Solving Test, yet not business-related). You match the location to the species as well as the species with each other based on many different characteristics such as calorie need or provision and environmental requirements such as temperature, sun exposure, etc. All requirements need to be fulfilled at the same time to create and sustainable ecosystem and to successfully pass this game.

There are 2 parts:

First, you need to pick 8 species, either animal or plant, to inhabit the mountain, reef, or jungle location. Selecting a suitable, heterogeneous sample for the food chain relationship out of the numerous species is crucial. You need to account for the interaction effects between the species (e.g., coral, aquatic animals, algae, etc. in the reef) and several individual characteristics such as the required environment, place in the food chain, how many calories they need to survive, or how much energy they need, how many calories or energy they provide when consumed, etc.

Second, you need to decide on the location of the ecosystem to create good living conditions for several species. You need to consider several characteristics of the location such as altitude, cloud height, ph-level of the soil, wind speeds, precipitation, etc. for the mountain ridge or depth, temperature, salinity, etc. for the coral reef.

The catch in this game is that you are presented with information overload and need to show proper systems thinking. The food chain must not collapse, and the ecosystem must sustain itself. You will know if you have provided a good answer before submitting it since you can test your hypotheses to see if the ecosystem can actually sustain itself.

In the summer of 2020, McKinsey started to introduce new boundary conditions to make the game more challenging. For instance, you not only need to create the food chain with several levels and match it with a location but also adhere to certain new rules related to the hierarchy of the food chain. This twist adds another dimension you need to consider when drafting your solution.

There are several ways how to approach this scenario, which we worked on with our candidates and created an Excel sheet that helps you solve the eco-system puzzle. Below is a high-level approach you can use when going into the game.

What you need to know when approaching the species selection

• Selecting 8 species : From a set of 39 animals, you must choose 8. These species include 9 producers (like corals and algae) and 30 animals (such as sharks, tuna, etc.). Producers consume natural resources and do not require calories, while animals consume other organisms and require calories for survival.
• Environmental conditions : Species are divided into three environmental ranges, each with specific environmental characteristics like depth and temperature. For instance, depth may be categorized into ranges such as 11-15m, 16-21m, and 22-27m.
• Distribution of species : In each environmental range, you’ll find 3 producers and 10 animals. Your final ecosystem should consist of species all from the same range.

Having this key insight into the food chain mechanics in the McKinsey Ecosystem Game can be a significant advantage. As this information isn’t explicitly communicated by McKinsey, most candidates would typically need to deduce these details during the game, consuming valuable time within the 35-minute limit. However, being aware of this beforehand allows you to approach the game with a more informed strategy.

• Start with producers : Knowing the calorie dynamics, you can begin by selecting a set of producers that not only share the same location characteristics but also provide the right amount of calories for enough animals. This understanding narrows down your options significantly, reducing the initial choice of 39 animals to a more manageable 10.
• Focus on the right producers : Identifying the correct set of producers is crucial, as they form the foundation of your food chain. Choosing the right producers simplifies the subsequent steps in creating a sustainable ecosystem.

In our McKinsey Solve Game Guide , we delve deeper into these strategies, offering a step-by-step approach to solve the Ecosystem Creation game efficiently – in less than 20 minutes. Our guide is designed to streamline your process, ensuring you can focus on building a viable ecosystem without getting bogged down by the multitude of options.

We also provide an Excel Solver tool as part of the guide. This tool is immensely helpful in assessing the sustainability of your ecosystem. It aids in determining whether the food chain you’ve created can sustain itself, saving you the trial-and-error time during the game. Additionally, the Excel Solver can suggest instantly which set of producers is most likely to support a survivable food chain, further enhancing your ability to make quick and effective decisions in the game.

The game intricately simulates a natural food chain, requiring you to strategically link species as either food sources or predators to create a sustainable ecosystem. Here’s a breakdown of how this works and how you can effectively create a sustainable chain:

1. Species interactions:

Each species in the game has relationships with others – as either a predator or a food source. For instance, a Blue Jay might be preyed upon by a Shark, while it feeds on Yellow Fish.

2. Caloric dynamics:

Every species is assigned specific caloric values: calories provided and calories needed. These caloric values are crucial in determining which species from the available 13 you should select to form your final ecosystem of 8. The moment you select your 3 producers, you are only left with choosing 5 animals out of 10. A much easier task than before.

3. Eating rules and algorithm to test your sustainability:

The game outlines essential rules about the feeding mechanism. The key rules include:

• The species with the highest ‘calories provided’ value eats first.
• It consumes the species offering the highest caloric value as a food source. In the case of ties, it splits its consumption 50/50.
• Consumption reduces the ‘calories provided’ by the prey by the amount of ‘calories needed’ by the predator. A species needs non-zero ‘calories provided’ to survive, and all its ‘calories needed’ should be zero after feeding.
• After the first species feeds, the next one with the highest ‘calories provided’ follows suit, and the process repeats.

4. Ensuring chain sustainability:

It’s crucial to ensure each animal receives adequate calories from its food source and that no species depletes its ‘calories provided’ to zero. If a species either doesn’t receive enough calories or depletes its own, the chain becomes unsustainable, leading to failure in the game.

To quickly and efficiently establish a sustainable chain, you must:

• Carefully analyze caloric values : Assess the ‘calories provided’ and ‘calories needed’ for each species to determine the feeding order and the sustainability of the chain.
• Ensure continuity : Verify that every animal in your chain is connected and that there’s continuity in the food chain.
• Balance the ecosystem : Maintain a balance where no species runs out of calories while ensuring each one’s dietary needs are met.

By following these steps and paying close attention to the caloric requirements and relationships between species as well as the eating rules algorithm about who eats first, second, third, etc., you can successfully create a sustainable food chain within way less than the allotted time in the McKinsey Ecosystem Game.

Once you have successfully identified the 8 species for your ecosystem, the next critical step is to choose an appropriate location for this ecosystem on the island.

What you need to know when approaching the location selection

How to Approach the Location Selection:

• Navigating the map : The game presents you with a map where you can use your cursor to explore different potential locations for your ecosystem.
• Analyzing location conditions : Each location on the map comes with seven different environmental conditions. However, not all of these conditions are relevant to your task. Your focus should be on the variables that you identified as important in the previous step while choosing your species, usually just 2 to 4 variables.
• Identifying relevant variables : Recall the parameters you noted earlier for each species. These are the variables you need to match in the location selection process.
• Utilizing the interface for matching : As you hover your cursor over different locations on the map, you can refer to the top-right menu on your screen. This menu displays the environmental variables at the current cursor position. You need to check if they are all within the required range for your selected species. If you approach this effectively, you can do this in less than 1 minute.

By methodically checking these variables and finding a location that aligns with the environmental requirements of your 8 species, you can complete this task efficiently. Proper selection of species in the first task significantly simplifies this process, allowing you to quickly identify a suitable location without getting distracted by irrelevant data.

This streamlined approach helps ensure that your ecosystem is not only sustainable in terms of species interdependence but also well-suited to the chosen location’s environmental conditions.

Red Rock Study Simulation

The Red Rock Study game has become a staple in the McKinsey Solve Game lineup, replacing the Plant Defense game for all candidates since March 2023. This game marks a shift towards a more conventional analysis and problem-solving context, reminiscent of the approach used in older BCG Online Cases. Despite the game casting you in the role of a researcher, the tasks closely resemble those undertaken by a typical consultant. The game is designed to assess abilities like information processing, data collection, mathematical calculations (involving growth rates, averages, and percentages), and the interpretation of exhibits.

The game is divided into two main sections, the Study Section and the Case Section, each with distinct tasks and objectives, and you have a total of 35 minutes to navigate through them.

The Study Section

The Study Section consists of a three-step process:

Investigation Stage : Here, you are presented with an objective for your research, accompanied by data in various formats such as text, tables, and charts. Your primary task in this stage is to identify and gather insightful, relevant data, which you then record in your on-screen research journal.

• Objective and data collection : You start by receiving text, graphs, and tables, along with a specific objective for your research. Your task is to sift through this information.
• Selective data gathering : Key information can be dragged and dropped into your Research Journal, located on the right-hand side of the screen. It’s important to discern which data is relevant and avoid unnecessary information.
• Preparation for analysis : Once you’ve collected all the relevant information, you proceed to the Analysis phase.

Analysis Stage : This stage involves answering three mathematical questions related to your research objective. You have access to an on-screen calculator for computations, but the main challenge lies in developing the correct approach and filtering the right data. There’s flexibility to move back and forth between the Investigation and Analysis stages, allowing you to retrieve any additional information you might need.

• Mathematical questions : This phase presents 3 to 5 math questions, usually pertaining to different groups of animals.
• Using tools : An embedded calculator is provided for calculations. The tricky part is setting up the right calculations and equations. You’ll also refer back to the data collected in your Research Journal to answer these questions.
• Drag-and-drop feature: Also here, you need to drag and drop information to create your calculations and move your answers around.

Report Stage : The final stage requires you to synthesize your findings by filling in the blanks of a report and presenting them effectively. This latter involves summarizing your research and choosing an appropriate chart to visually represent your supporting data.

• Combination of Written and Visual Tasks : This phase includes a written section and a visual representation task.
• Written part : Answer questions based on your findings from the Analysis phase by filling in the blanks of a report text.
• Visual part : Select and create a graph to effectively represent your analysis results.

After completing the Report, you transition to the final section of the Red Rock Study game, known as the Cases Phase.

The Case Section

In March 2023, McKinsey introduced a significant update to the Red Rock Study assessment, adding a new mini-case component. This new section includes 6 to 10 quantitative reasoning questions, each associated with the context of the study segment, yet distinct in terms of data and information.

The introduction of the mini-case has notably increased the assessment’s complexity. Candidates now face the dual challenge of completing both the study part and the case questions within a consolidated time frame of 35 minutes. This is a marked change from the previous format, where the time limit was solely allocated to the study segment. The recommended approach is to divide the time equally between the two parts, emphasizing efficient time management.

The quantitative reasoning questions in the mini case require strong quantitative and analytical skills. Candidates must swiftly interpret information presented in various charts and textual sources, perform calculations accurately, and derive correct answers. The added time pressure necessitates not only quick thinking but also precision in analysis and calculations.

Given these heightened demands, thorough preparation and practice become even more crucial. Familiarizing oneself with quick data interpretation and ways to set up calculations under time constraints is highly advantageous. Such preparation mirrors the real-world demands of consulting, where professionals are often required to process complex information rapidly and make informed decisions under pressure.

We cover this game and 6 practice tests in more detail in our McKinsey Solve Game Guide .

Each phase of the Red Rock game is designed to mimic real-world consulting tasks, testing your ability to process information, perform quantitative analysis, and present findings coherently. The game challenges you to filter through data, apply mathematical concepts, and communicate results clearly, skills that are essential in a consulting environment. By understanding the structure and requirements of each phase, you can better prepare and strategically navigate through this component of the McKinsey Solve Game.

The Red Rock game, with its business-like analysis and structured approach to problem-solving, tests a range of skills that are directly applicable to the world of consulting. It challenges candidates to not only understand and interpret data but also to apply it effectively in a simulated research context. The game’s emphasis on analytical thinking, data interpretation, and effective communication of findings mirrors the skills required for a successful career in consulting.

The integration of the Red Rock Study game into the McKinsey Solve Game lineup signifies a notable shift in McKinsey’s approach to candidate assessment. This change not only diverges from McKinsey’s previous game-based assessment strategies but also aligns more closely with the types of evaluations commonly used by other consulting firms.

In that sense, it is much more a problem-solving test rather than a game.

The demand for information for this game was so big, that we dedicated a full-length article to it here.

Creating a Strategy for the Red Rock

Developing an effective strategy for the Red Rock Study game is essential to successfully navigate its complexities. We have crafted a four-step approach to optimize your performance in the game:

1. Understanding the Objective (Investigation Stage)

• Interpretation is key : Begin by carefully reading and interpreting the objective of the game. Understanding what is expected of you is crucial in setting the right direction for your investigation.
• Clarity of goals : Ensure you have a clear grasp of what the game is asking you to accomplish. This understanding will guide your decisions and actions throughout the different stages of the game.

2. Identifying Relevant Data (Investigation Stage)

• Data selection : Amidst the plethora of information provided, focus on identifying and prioritizing data that is directly relevant to the game’s objective.
• Efficient data gathering : Aim to distinguish between essential information and potential distractors. Collecting the right data in your Research Journal will streamline your analysis process.

3. Conducting the Analysis (Analysis Stage)

• Strategic analysis : Set up and execute your analysis and calculations. This step involves applying the data you’ve gathered to solve the problems posed in the game.
• Accuracy in calculations : Use the provided tools, such as the on-screen calculator, efficiently to ensure your calculations are accurate and relevant to the task at hand.

4. Visualizing the Findings (Report Stage)

• Effective presentation : Once your analysis is complete, the next step is to report your findings and visualize your data effectively in the Report Stage.
• Choosing the right format : Select a graph or chart that best represents your findings, making sure it aligns with the narrative of your analysis.

By following these steps, you can create a focused approach to the Red Rock Study game. This strategy helps in navigating the game’s challenges methodically, ensuring that each stage is tackled with precision and clarity. Preparation, practice, and a clear understanding of each stage’s requirements are key to mastering this McKinsey assessment.

For the Red Rock Case Section (and the Study section actually as well), developing a strong proficiency in quantitative reasoning is crucial. This part of the assessment requires you to not only understand and analyze numerical data but also to set up and solve equations swiftly and effectively.

Enhancing Quantitative Reasoning Skills for the Red Rock

• Practice with quantitative questions : Regularly engage with various types of quantitative reasoning questions. This practice will help you become familiar with different question formats and data interpretation challenges.
• Efficient equation setup : Focus on setting up equations quickly. This skill is crucial for solving the mathematical problems presented in the game efficiently. Read up on percentages, growth rates, averages – the 3 most common operations found in the game,
• Speed and accuracy : Balance speed with accuracy. It’s essential to work through questions rapidly, but not at the expense of making careless errors. If you get stuck on one question for too long, move on!
• Utilize tools effectively : Make the most of the on-screen calculator provided in the game. Familiarize yourself with its functionality to enhance your efficiency during the test.
• Analytical thinking : Develop your ability to think analytically, particularly in interpreting charts, graphs, and tables, and in drawing conclusions from complex sets of data.
• Mock tests and timed practice : Engage in timed practice sessions. These simulate the pressure of the actual test and help improve your time management skills.

By honing these skills, you can approach the Red Rock Case Section with greater confidence, speed, and accuracy.

The skills that are needed in this game are much closer to an actual case interview and we would recommend that you also take a look at our articles on

• Case Interview Math
• Case Interview Exhibit Interpretation

Be aware that the game is still relatively new and we have seen many iterative changes to new games in the past. As a result, be prepared to encounter minor variations or adaptations when you face the Red Rock simulation.

The Former Games of the McKinsey Solve Game

If you are pressed for time, you can skip this section. If anything changes in the Solve Game lineup, we will adjust this article and our preparation package accordingly.

Plant Defense

In this scenario, which was active until March 2023, you need to defend a plant species from invaders using several tools at your disposal in a static, round-based tower defense-style game. The tools consist of barriers that slow down invaders and predators that damage and eradicate them.

In this game, which, for the majority of candidates, is a bit more challenging than the first, you need to defend a plant at the center of a map from an invasive species for as long as possible. This scenario is broken down into 3 rounds. Each round lasts between 8 to 12 minutes, presenting a slight variation of the game with increasing complexity and an increase in the map size. For each round, invaders spawn in several turns per map.

Each round is divided into two parts.

In the first part, you can actively manage your defense strategy in order to react to new invaders that spawn every 3 to 5 turns. You can manage 15 turns by initially placing your defense units on the map, adjusting their positioning after every turn, and selecting new defense units every 5 turns.

Your goal is to have the plants survive each of these increasingly difficult turns. You can slow the invaders down so that they do not arrive at your plant within the number of turns or eliminate them fully before they do so.

In the second part, the endgame, you are no longer able to change your strategy and the placement of your defense units. The game fast-forwards until your plant is defeated. Depending on the quality of your last placement strategy it might take the invaders many turns to kill the plant, ideally more than 30.

Your goal is to optimize for the plant to survive as many turns as possible. Your product score is the direct result of the turns survived, while your process score focuses on how well you adjust to the changing behaviors of attackers and how much you can learn and adapt over the course of the turns and over the course of the 3 rounds.

In order to do this, you need to choose certain animals that eat the invasive species and natural barriers/ terrain to slow them down and block them, in a static and turn-based environment, contrary to most other tower defense games that are dynamic.

You are presented with information about what each tool such as animals or geographical/terrain barriers can do, e.g., how many invasive species an animal can kill in a given time or how much a forest can slow the invaders down. These animals have different stats in terms of their reach/sphere of influence (shown as squares) as well as the damage that they are able to inflict on the invaders.

For instance, there could be a dog and an eagle as animals. The eagle has a large radius and inflicts less damage whereas the dog has high damage but a smaller range of effectiveness (e.g., one square only). Some animals have a large radius and high damage (usually during the last game). The damage inflicted might also differ depending on the type of invader. The barriers are elements such as mountains, rocks, and forests. Mountains block invaders and make them change their pathway toward the plant (ideally make the pathway longer). Rocks and forests slow invaders down (different effectiveness for different invaders)

The invaders will start attacking the plants once they reach it in the middle and the game ends.

While initially, you will be able to kill the invaders, they will show up in greater numbers in each consecutive wave and it is possible that you will be defeated. This is not, per se, a bad thing since it will die eventually in the fast-forward mode of the game. Keep the plant alive for as long as possible.

The aim is to defend the plant in the center for as long as possible, hence, to kill all invaders before they reach the plant. It is very important to make use of both defending animals and barriers to unlock their synergistic effects and keep the invaders as long as possible in the sphere of influence of the animals.

Use the untimed tutorial to think about the most effective combinations and layouts of the tools before starting the game. Prepare using video games in the tower defense niche to train yourself for this scenario. The key in this game is to show adaptability by being able to learn quickly and improve your strategies and reactions with each turn and with each game.

Creating a strategy

Let’s again break down your approach into several steps.

• Familiarize yourself with the map
• Create your initial strategy
• Focus on new invaders first
• Secure the plant from future attacks
• Adjust your strategy as the game evolves

We discuss each step, variation, and successful start-to-finish strategy in full in our McKinsey Solve Game Guide , which has been co-created with the help of tower defense game designers, who developed games for iOS and Android.

Disease Identification

It seems that McKinsey reintroduced a game briefly that was already present in the beta testing stages of the PSG, with a slight variation. It replaced the tower defense game for roughly 5% of the candidates over the course of late 2020 and early 2021. By June 2021, it appears that the game never really made it out of the testing stage and we have not heard about any reappearance in 2022. Nonetheless, let’s look into them since we cannot guarantee that they won’t come back in one form or another.

As a player, you are tasked with  identifying which animals on the map will be infected by a given disease . The nature of the disease is not important. What is important is to identify patterns of the disease and ultimately identify which animals would be infected in the next turn.

The game has many animals on the map. There are also three time periods, which they call Time 1, Time 2, and Time 3. In Time 1, a small subset of animals is already infected. When you click on Time 2, that same map will show which additional animals got infected. Your goal is to identify which animals will get infected in Time 3. The approach to this game is relatively simple:

• Figure out what the key variables are that could give a hint about the disease progression.
• Create an array of different filters and look at them through different points in time to see the changes in the animal population.
• Move to time 3 and select the next animals that will be affected by the disease based on your tested hypotheses from step 2 (e.g., if you know that all animals above 6 years are affected by the disease and in time 3 there are 20 new animals that are above 6 years of age, select them)

Contrary to the old version which was used in beta tests before the game was actually launched, you do not need to provide a remedy or a treatment plan.

Disaster Identification

Another game has not made a new appearance since 2021. In this game, candidates had to figure out the nature of a natural disaster impacting an animal population and then place the animals on another area of the map so that the most number of animals survive. The mechanics are similar to the ecosystem game.

In this game, you can display three things, a map, species, and a list of events. You can tackle the game in 4 steps:

• Identify what event has happened in an area (a natural disaster such as a tornado or a flood) by combining information from an event description with variables on the screen.
• Identify dominant ranges to move the animals to an area that is best suited for their survival.
• Select the location by clicking on it and check for the relevant ranges you identified before. Prioritize characteristics that allow for the greatest number of animals to survive.
• Sanity check your selection in a similar manner as for the ecosystem game.

Migration Planning

A new game was briefly tested in 2022. We call it the Migration Planning game.

Your task is to plan the migration of 30 to 50 animals from a starting position to an endpoint on a map by selecting the best route out of several alternatives.

You have to solve up to 15 different scenarios within 35 to 40 minutes. Each scenario consists of 3 to 5 turns that have you decide on the next step of your route. In turn 1 you select the first step on your route, in turn, 2, the second leg, and so on until you reach the desired endpoint.

You start with a given number of animals and a specific set of resources (consumables such as food or water). With each turn of the game, a predetermined number of animals will die, and resources will be reduced by a specific amount, depending on your selected route. Alternatively, you can also select intermediate points on your route that will replenish and multiply existing resources as well as collect additional animals along the way.

The objective of the game is two-fold: First, you need to ensure that the highest number of animals survive until you reach the destination. Second, you need to arrive at the endpoint with some of the resources preserved as well. As said before, there are up to 15 different scenarios with 3 to 5 turns each, which leads to 45 to 75 unique decisions you must make along the way.

Organize the migration of 30 to 50 animals from one spot to the next by managing resources and animals from start to finish in 3 to 5 turns. Select the most optimal route to preserve resources and animals along the way and pass 15 rounds in total.

Map the routes on a piece of paper or in an Excel sheet.

• Write down each available route
• Calculate the outcome variables for resources and animals for every route
• Select the route where most animals survive and resource requirements are met

We provide you with a specific table and approach that you can use to create your strategy for each route in our McKinsey Solve Game Guide .

Preparing for the McKinsey Solve Game

Addressing the critical question: Is it beneficial to prepare for the Imbellus test, despite official advisories suggesting otherwise? The answer is a resounding yes.

Why preparation is crucial:

• Significant impact on outcomes : Our data indicates that preparation can dramatically increase your chances of success, from a 20% to an 80% success rate. This is even more pronounced than with the old PST, as the games in the Imbellus are more predictable than a traditional pen-and-paper test.
• Consequences of failure : Failing the Imbellus test results in a 2-year ban from reapplying to McKinsey (1 year for internships). Post-ban, you must demonstrate substantial improvements in your consulting cover letter and resume .
• Learnable skills : While McKinsey suggests that the games can’t be prepared for, Imbellus emphasizes that their games assess higher-order thinking skills, which are typically acquired through education, training, and experience.
• Gaming experience matters : Familiarity with computer games and digital environments can provide an advantage in a video game-based assessment. This introduces a different kind of bias in candidate evaluation, which can be mitigated by employing effective strategies.

Understanding the games and their objectives is key to effective preparation. Knowing what each game assesses, and the skills it targets, allows you to focus your preparation on enhancing those specific abilities. Additionally, familiarizing yourself with the gaming environment and practicing similar types of games can improve your comfort level and performance during the assessment.

While McKinsey advises candidates that preparation for the Imbellus game is neither necessary nor feasible, our extensive feedback collection from over 500 candidates we talked to suggests otherwise. In fact, thorough preparation can significantly enhance performance in the game’s various scenarios.

To aid candidates, we have meticulously analyzed the test, consulted with game design experts, and applied science-backed methods to develop a comprehensive guide detailing the game’s mechanics. Here are some overarching strategies to lay the groundwork for your preparation:

Imbellus Game Practice

Train the key skills that are being assessed  by Imbellus. Playing logic games, mobile games, and tower defense games with similar themes can be beneficial to training these areas specifically. While these games will differ somewhat in their user interface, objectives, and mechanics they still train your skills, make you think about potential strategies, and just get you in the habit of interacting with a gamified environment. If you have sufficient time before taking the Imbellus, try out some of the games below to practice the Imbellus gameplay.

Games for the Ecosystem and Migration Planning

• Plague Inc. – if you have limited time, focus on this game
• Cities: Skylines

Games for the Plant Defense

• Tower Duel – if you have limited time, focus on this game
• Kingdom Rush
• Plants vs. Zombies

Preparation for the Red Rock

Focusing on quantitative reasoning tests is an excellent way to prepare for the McKinsey Solve Game, particularly for the Red Rock Study section. Here are some effective ways to enhance your quantitative reasoning skills:

• GMAT Quantitative Reasoning : The quantitative reasoning sections of the GMAT are a great resource to start with. They offer a wide range of problems that can improve your ability to analyze data, perform calculations, and make logical deductions under time constraints.
• Red Rock Practice Tests : We have developed specialized practice tests specifically designed to mirror the challenges you will face in the Red Rock Study game. These tests are tailored to give you a realistic experience of what to expect during the actual game.
• Additional Quantitative Reasoning Resources : For those seeking more extensive practice in quantitative reasoning, we provide a comprehensive question bank in our Bain SOVA Guide . This bank contains hundreds of questions similar to those you might encounter in the game.
• Case Math Mastery Package : This package is another valuable resource that focuses on developing your case math skills. It is particularly useful for candidates who want to strengthen their ability to handle numerical data and complex calculations efficiently.

By incorporating these resources into your preparation plan, you can significantly improve your quantitative reasoning abilities. This will not only aid you in the Red Rock Study game but also enhance your overall problem-solving skills, which are crucial for a successful case interview performance.

General Preparation Advice

Enhancing your performance in the McKinsey Imbellus Game involves more than just playing similar games. It requires a multifaceted approach that focuses on developing key skills and strategies.

Approach each decision methodically and develop a plan for tackling each decision. A step-by-step decision-making process helps in making more deliberate and thoughtful choices, increasing the likelihood of selecting the most effective solution.

• Identify the decision : Clearly define what you need to decide. Understand the primary goal and any additional objectives.
• Gather information : Collect relevant information needed for the decision. Identify the best sources and methods for acquiring this data.
• Identify alternatives : As you gather information, recognize various possible courses of action.
• Weigh the evidence : Consider the potential outcomes of each alternative based on the information you have.
• Choose among alternatives : Select the option that seems best after weighing all the evidence.
• Review your decision : Reflect on the decision’s outcome and assess if it addressed your initial goal.

Learn to take proper notes and document your observations about each scenario’s mechanics. Using tools like Excel templates can help structure your thoughts and find solutions more efficiently.

Develop skills in structuring, analyzing, and synthesizing complex issues. Combine logical thinking with creativity to formulate effective recommendations.

Adopt a hypothesis-driven mindset. Start each game with one or more hypotheses, then test and refine them as you progress. This approach helps in focusing your analysis and quickly deriving recommendations.

Visualize processes and relationships. Practice creating quick sketches to visualize situations, processes, and relationships. This skill is particularly useful in unfamiliar scenarios and helps in breaking down complex issues.

Practice estimations and setting up equations. Engage in exercises that improve your quick math skills. These are essential in all games, from calculating calorie budgets in the ecosystem game to determining damage points and optimal routes in others. Become familiar again with basic equations, ratios, growth rates, and averages.

Test-taking Tips and Advice

To excel in the McKinsey Imbellus Game and enhance your test performance, consider the following insights into McKinsey’s innovative recruitment game. These guidelines are designed to help you navigate the unique challenges of the game effectively:

Avoid replicating solutions : Each test taker encounters unique scenarios and numbers in the Imbellus game. The games are set in ecological contexts, making them accessible to all backgrounds, but with thousands of possible variations, no two experiences are identical. Focus on your strategy and process rather than trying to replicate specific results.

Make decisions with incomplete information and practice 80/20 decision-making : Often, you won’t have time to reach the perfect answer in the ecosystem game. Aim for a good answer that demonstrates a sound problem-solving strategy and fulfills the objectives. Avoid getting lost in excessive details and consider writing down various outcomes to test your ideas.

Read instructions thoroughly and understand the tasks : Overcoming challenges in the McKinsey Solve Game requires a deep understanding of the game’s objectives. With the increasing variety of game scenarios, it’s crucial to read and comprehend all instructions. A missed detail can make your approach invalid. Ensure clarity on your objectives before proceeding.

Ensure a stable test environment and check your setup : If taking the test from home, ensure a reliable internet connection and a fully charged computer. Some candidates have reported high CPU usage; consider using a more powerful system if needed. Remember, you can always contact the 24/7 Imbellus service center for any issues during the test.

Monitor time closely and manage it well : The complexity and depth of the games can make it easy to lose track of time. Keep a close eye on the time, aiming to allocate the right amount of time for each step of the way (e.g., 15 minutes for the ecosystem species and 2 minutes). The progress bar will help you monitor the remaining time. Have pre-determined time goals that you execute if they are met (e.g., only taking 2 minutes to think about a quantitative reasoning question in the Red Rock).

Elevate Your Score with Our Comprehensive Preparation Package

Preparing for McKinsey’s recruitment game: Tips and strategies included in this comprehensive guide to mastering the Imbellus game are designed to give applicants a competitive edge. Unlock your potential to ace the Imbellus game with our comprehensive Solve Game preparation package. It comes with

• a 147-page guidebook with best practices for McKinsey digital assessment preparation
• an Excel Solver for the Ecosystem Creation
• a 14-part video series
• 6 Red Rock full-length practice tests
• a McKinsey case interview and PEI interview primer

The package gives you the definite edge in your preparation and test-taking, detailing winning strategies for the Ecosystem in less than 20 minutes and ample practice opportunities for the Red Rock Game. Gain immediate access to PDFs, Excel tools, templates, and video content, ensuring you’re up-to-date with McKinsey’s evolving assessment criteria.

Since November 2019, we’ve led with first-hand information, starting with interviews with early test-takers and experts. Our ongoing customer interviews have built a vast database, aiding over 8500 candidates in 70+ countries. We regularly update our guide, offering you the latest insights. On top of that, our team, comprised of ex-McKinsey consultants and interviewers, brings deep insights into McKinsey’s evaluation criteria, surpassing the generic advice found elsewhere.

Six pillars of our strategy:

• Understanding McKinsey’s criteria : As former McKinsey consultants and interviewers, we grasp what McKinsey seeks in their next-gen consultants.
• In-depth scenario analysis : Learn the nuances of user interfaces and gameplay mechanics.
• Skill development : We cover the core skills with actionable advice and practice resources.
• Effective test strategies and shortcuts : Benefit from proven strategies and tools, derived from successful candidate experiences, meticulously refined over 4 years.
• Efficient preparation hacks : Accelerate your readiness with our targeted tips and techniques.
• Low-cost and accessibility: We are a small team and sell directly to consumers without an intermediary. Hence, we can offer this product at a much lower price than every competitor.

Additional benefits:

• Exclusive support : Join our McKinsey applicants’ inner circle for 24-hour support on all consulting interview questions. Get access to the world’s leading McKinsey interview coach, who has helped generate almost 200 McKinsey offers for coaching clients in 3 years.
• Regular updates : Stay ahead with our constant updates and a free 1-year access guarantee.
• Free McKinsey interview primer : Get a 14-page primer with essential case and PEI preparation tips.
• FREE BONUS: A 10% discount on the Solve Game Simulation by MConsultingPrep.

Our credentials:

• Extensive reach : Assisted 8500+ students from 70+ countries over the last 4 years.
• Rich experience : Built on 500+ test-taker interviews, expert inputs, and McKinsey know-how, 100% proprietary information
• Comprehensive materials : Includes a 147-page guide, automated Excel Solver, 14 concise videos to get you up to speed quickly, and 6 full-length Red Rock practice tests.

Currently, the package leads to an 87% success rate with our clients ( based on customer feedback from Nov 23 – Jan 24 )

Latest update: February 2024 (includes the new Red Rock Simulation variation and 6 practice tests)

McKinsey Solve Game Guide (Imbellus) 20th Edition

SALE: $89 / $54

ADD TO CART

McKinsey Solve Game FAQ

Navigating the McKinsey Solve Game can be a challenging part of your journey towards joining a top-tier consulting firm. To help demystify the process and enhance your preparation, we’ve compiled a list of frequently asked questions. Whether you’re wondering about the skills assessed or looking for the best preparation resources, you’ll find the answers here.

What specific skills does the McKinsey Solve Game assess?

• The game evaluates problem identification, strategic solution development, decision-making under pressure, adaptability, and quantitative reasoning.

Can you really prepare for the McKinsey digital assessment, and how?

• Yes, preparation is possible and beneficial. Focusing on having the right tools at your disposal such as an Excel Solver, playing similar simulation games, and developing a strategic approach to problem-solving and quantitative questions can enhance your readiness.

What are the key strategies for succeeding in the ecosystem simulation?

• Success involves understanding ecosystem balance, prioritizing tasks, managing time effectively, and applying logic to predict the outcomes of different actions.

Are there any official practice tests available for the Imbellus Game?

• McKinsey does not provide official practice tests, but various online resources and guidebooks offer simulations and strategies that mimic the game scenarios.

How does the Imbellus Game differ from traditional consulting firm recruitment tests?

• Unlike traditional pen-and-paper tests or computer-based case assessments that focus on business scenarios, the Imbellus Game uses gamified simulations to assess a wider range of problem-solving and strategic thinking skills in diverse contexts.

What resources are recommended for McKinsey Solve Game preparation?

• Comprehensive guidebooks and videos, strategic game-playing, online forums for candidate experiences, and practicing with games that require similar skill sets are highly recommended.

How important is game familiarity in succeeding in McKinsey’s digital assessment?

• Familiarity with the game’s format and the types of challenges presented can significantly improve performance by reducing the learning curve and anxiety during the actual assessment.

Can playing similar digital games improve my performance in the Solve Game?

• Yes, engaging in similar strategy and simulation games can enhance relevant skills such as critical thinking, strategic planning, and decision-making under time constraints.

What is the most challenging aspect of the McKinsey Solve Game, according to past participants?

• Many participants find the time pressure and the requirement to make strategic decisions with incomplete information to be the most challenging aspects.

How does McKinsey use the Solve Game results in the recruitment process?

• The results are used alongside resume screenings to provide a holistic view of a candidate’s problem-solving abilities and potential as a consultant, influencing the decision on whether to proceed with the candidate.

We value your feedback and experiences with the McKinsey Solve Game! If you have additional questions, insights, or tips that weren’t covered in this article, please share them in the comments section below.

15 Responses

Hello, thank you for this introduction. I would like to ask about one thing. In the ecosystem… From all 8 species – they have to survive? Or they can be eaten by predators? I understand how to create the food chain, but still…if you create a food chain and the species do not replicate, they will be eaten by predators…

Dear Lenka, All species in the food chain (animals and plants) need to survive. The sum of the calories provided by a species – the sum of calories needed for the predator species should always be positive. Cheers, Florian

hi Florian,

I only have 3 hours before the PSG is due, is it possible or useful to buy the guide given such a short time limit? Thank you

Dear Angelina, 3 hours would be enough to read through the strategy section, watch the videos and familiarize yourself with the Excel. While not ideal and we receommend more time to practice, it would still make sense. Cheers, Florian

[…] using digital badges to recognise learning and, for example, the consultant company McKinsey uses a game during its recruitment process,” adds Nikoletta-Zampeta […]

Hello Florian Daniel or Colleague, I am very pleasantly surprised to see this guide that you have masterfully complied. Having tips from insiders is such a confidence boost! I purchased this pack without hesitation and am hoping to try it out before investing in the comprehensive 6h coaching program. Nonetheless, I wonder if you can email me back by helping me with downloading the actual guide? I encountered a technical issue whereby I completed my payment on my phone, but it became impossible to download it via my laptop. I am very worried as the deadline of the test is approaching so could you please get back to me asap?

Many Thanks Aspiring Consultant

I have just sent you your documents, which also contain access to the video program.

Please let me know if I can assist further.

Kind regards, Florian

Hi, how long would you suggest I prepare for the McKinsey digital assessment test after purchasing the digital assessment guide? 2 weeks? 4 weeks?

Hi Emmanuel,

We have candidates that prepare between 2 days and 1 month. The shorter your preparation time, the more your focus should be on learning the proven strategies we outline in our guide (so that you can implement them properly on the game day) and go through and practice the most effective and important tools we provide you with to quickly raise your skill levels.

Obviously, when you have more time on your hands, you can prepare in a much more relaxed way and go deeper with all our exercises and tools. Generally, I would say that 2 weeks is the sweet spot we have seen with our candidates and it is rare for them to fail after they have gone through all exercises and tools, practiced the preparation tips, and have our game-plan and strategies internalized over this time period.

4 weeks would give you enough time to prepare without a rush, and in parallel to the case interview practice. In any case, should something change in the game between your purchase and the testing date, we will send you a new version of the guide and the videos free of charge!

Let me know if you have any further questions!

All the best for your preparation and your application.

I heard that there are also other games that could be part of the PSG like predicting and preventing an environmental disaster. Are you sure that there are ‘only’ the 2 two games you describe?

Hi Luiz, we talk briefly about these potential other scenarios in our Problem Solving Game Guide. Be aware that they were used during the trial stages in 2018/19 only and none of our more than 700 customers has reported on them pro-actively. From the 80+ customers we interviewed since November 2019, all went solely through the ecosystem game and the tower defense-like game. In the ecosystem game, recent candidates report having done the mountain ridge scenario and not the reef (even though this has no impact on the actual gameplay).

Hi, how do I know if I passed the ecosystem simulation task?

Hi Patricia, on an aggregate level the game looks at both your product score (did you produce a good outcome?) and your process score (did you perform well under stress while working towards the outcome?).

In order to pass the ecosystem simulation, ideally, you reach the threshold McKinsey set for both scores (which is unknown). For the product score, you should be able to test your hypotheses during the game and see if your food chain is actually sustainable and works out. However, for the process score, you can only take a guess. McKinsey and Imbellus record every movement of your mouse, every click, as well as how long you pause, go back and forth in the menus, etc. In short, the more you have worked in a calm and collected manner towards selecting your food chain, the higher the chances to reach a solid process score.

Hi, I have one question, Is McKinsey problem-solving game material included in Mc Kinsey program?

Hi Federico, do you mean the Video Academy or the Interview coaching?

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Florian spent 5 years with McKinsey as a senior consultant. He is an experienced consulting interviewer and problem-solving coach, having interviewed 100s of candidates in real and mock interviews. He started StrategyCase.com to make top-tier consulting firms more accessible for top talent, using tailored and up-to-date know-how about their recruiting. He ranks as the most successful consulting case and fit interview coach, generating more than 500 offers with MBB, tier-2 firms, Big 4 consulting divisions, in-house consultancies, and boutique firms through direct coaching of his clients over the last 3.5 years. His books “The 1%: Conquer Your Consulting Case Interview” and “Consulting Career Secrets” are available via Amazon.

Most Popular Products

Search website

Strategycase.com.

© 2024 | Contact: +43 6706059449 | Mattiellistrasse 3/28, 1040 Vienna, Austria

• Terms & Conditions
• Privacy Policy
• Universities & consulting clubs
• American Express

Click on the image to learn more.

Resources >

Mckinsey approach to problem solving, a guide to the 7-step mckinsey problem solving process.

McKinsey and Company is recognized for its rigorous approach to problem solving. They train their consultants on their seven-step process that anyone can learn.

This resource guides you through that process, largely informed by the McKinsey Staff Paper 66. It also includes a PowerPoint Toolkit with slide templates of each step of the process that you can download and customize for your own use.

In this guide you'll learn:

Overview of the mckinsey approach to problem solving, problem solving process.

• Problem Definition & Problem Statement Worksheet

Stakeholder Analysis Worksheet

Hypothesis trees, issue trees, analyses and workplan, synthesize findings, craft recommendations, distinctiveness practices, harness the power of collaboration, sources and additional reading, request the mckinsey approach to problem solving.

Problem solving — finding the optimal solution to a given business opportunity or challenge — is the very heart of how consultants create client impact, and considered the most important skill for success at McKinsey.

The characteristic “McKinsey method” of problem solving is a structured, inductive approach that can be used to solve any problem. Using this standardized process saves us from reinventing the problem-solving wheel, and allows for greater focus on distinctiveness in the solution. Every new McKinsey associate must learn this method on his or her first day with the firm.

There are four fundamental disciplines of the McKinsey method:

1. Problem definition

A thorough understanding and crisp definition of the problem.

2. The problem-solving process

Structuring the problem, prioritizing the issues, planning analyses, conducting analyses, synthesizing findings, and developing recommendations.

3. Distinctiveness practices

Constructing alternative perspectives; identifying relationships; distilling the essence of an issue, analysis, or recommendation; and staying ahead of others in the problem-solving process.

4. Collaboratio n

Actively seeking out client, customer, and supplier perspectives, as well as internal and external expert insight and knowledge.

Once the problem has been defined, the problem-solving process proceeds with a series of steps:

• Structure the problem
• Prioritize the issues
• Plan analyses
• Conduct analyses
• Synthesize findings
• Develop recommendations

Not all problems require strict adherence to the process. Some steps may be truncated, such as when specific knowledge or analogies from other industries make it possible to construct hypotheses and associated workplans earlier than their formal place in the process. Nonetheless, it remains important to be capable of executing every step in the basic process.

When confronted with a new and complex problem, this process establishes a path to defining and disaggregating the problem in a way that will allow the team to move to a solution. The process also ensures nothing is missed and concentrates efforts on the highest-impact areas. Adhering to the process gives the client clear steps to follow, building confidence, credibility, and long-term capability.

Problem Definition & Problem Statement Worksheet

The most important step in your entire project is to first carefully define the problem. The problem definition will serve the guide all of the team’s work, so it is critical to ensure that all key stakeholders agree that it is the right problem to be solving.

Problem Statement Worksheet

This is a helpful tool to use to clearly define the problem. There are often dozens of issues that a team could focus on, and it is often not obvious how to define the problem. In any real-life situation, there are many possible problem statements. Your choice of problem statement will serve to constrain the range of possible solutions.

• Use a question . The problem statement should be phrased as a question, such that the answer will be the solution. Make the question SMART: specific, measurable, action-oriented, relevant, and time-bound. Example: “How can XYZ Bank close the $100 million profitability gap in two years?”
• Context . What are the internal and external situations and complications facing the client, such as industry trends, relative position within the industry, capability gaps, financial flexibility, and so on?
• Success criteria . Understand how the client and the team define success and failure. In addition to any quantitative measures identified in the basic question, identify other important quantitative or qualitative measures of success, including timing of impact, visibility of improvement, client capability building required, necessary mindset shifts, and so on.
• Scope and constraints . Scope most commonly covers the markets or segments of interest, whereas constraints govern restrictions on the nature of solutions within those markets or segments.
• Stakeholders . Explore who really makes the decisions — who decides, who can help, and who can block.
• Key sources of insight . What best-practice expertise, knowledge, and engagement approaches already exist? What knowledge from the client, suppliers, and customers needs to be accessed? Be as specific as possible: who, what, when, how, and why.

The problem definition should not be vague, without clear measures of success. Rather, it should be a SMART definition:

• Action-oriented

Example situation – A family on Friday evening

Scenario: A mother, a father, and their two teenage children have all arrived home on a Friday at 6 p.m. The family has not prepared dinner for Friday evening. The daughter has lacrosse practice on Saturday and an essay to write for English class due on Monday. The son has theatre rehearsal on both Saturday and Sunday and will need one parent to drive him to the high school both days, though he can get a ride home with a friend. The family dog, a poodle, must be taken to the groomer on Saturday morning. The mother will need to spend time this weekend working on assignments for her finance class she is taking as part of her Executive MBA. The father plans to go on a 100-mile bike ride, which he can do either Saturday or Sunday. The family has two cars, but one is at the body shop. They are trying to save money to pay for an addition to their house.

What is the problem definition?

A statement of facts does not focus the problem solving:

It is 6 p.m. The family has not made plans for dinner, and they are hungry.

A question guides the team towards a solution:

1. What should the family do for dinner on Friday night?

2. Should the family cook dinner or order delivery?

3. What should the family cook for dinner?

4. What should the family cook for dinner that will not require spending more than $40 on groceries?

5. To cook dinner, what do they need to pick up from the supermarket?

6. How can the family prepare dinner within the next hour using ingredients they already have in the house?

In completing the Problem Statement Worksheet, you are prompted to define the key stakeholders.

As you become involved in the problem-solving process, you should expand the question of key stakeholders to include what the team wants from them and what they want from the team, their values and motivations (helpful and unhelpful), and the communications mechanisms that will be most effective for each of them.

Using the Stakeholder Analysis Worksheet allows you to comprehensively identify:

• Stakeholders
• What you need from them
• Where they are
• What they need from you

The two most helpful techniques for rigorously structuring any problem are hypothesis trees and issue trees. Each of these techniques disaggregates the primary question into a cascade of issues or hypotheses that, when addressed, will together answer the primary question.

A hypothesis tree might break down the same question into two or more hypotheses. 

Example: Alpha Manufacturing, Inc.

Problem Statement: How can Alpha increase EBITDA by $13M (to $50M) by 2025?

The hypotheses might be:

• Alpha can add $125M revenues by expanding to new customers, adding $8M of EBITDA
• Alpha can reduce costs to improve EBITDA by $5M

These hypotheses will be further disaggregated into subsidiary hypotheses at the next level of the tree.

The aim at this stage is to structure the problem into discrete, mutually exclusive pieces that are small enough to yield to analysis and that, taken together, are collectively exhaustive.

Articulating the problem as hypotheses, rather than issues, is the preferred approach because it leads to a more focused analysis of the problem. Questions to ask include:

• Is it testable – can you prove or disprove it?
• It is open to debate? If it cannot be wrong, it is simply a statement of fact and unlikely to produce keen insight.
• If you reversed your hypothesis – literally, hypothesized that the exact opposite were true – would you care about the difference it would make to your overall logic?
• If you shared your hypothesis with the CEO, would it sound naive or obvious?
• Does it point directly to an action or actions that the client might take?

Quickly developing a powerful hypothesis tree enables us to develop solutions more rapidly that will have real impact. This can sometimes seem premature to clients, who might find the “solution” reached too quickly and want to see the analysis behind it.

Take care to explain the approach (most important, that a hypothesis is not an answer) and its benefits (that a good hypothesis is the basis of a proven means of successful problem solving and avoids “boiling the ocean”).

Often, the team has insufficient knowledge to build a complete hypothesis tree at the start of an engagement. In these cases, it is best to begin by structuring the problem using an issue tree.

An issue tree is best set out as a series of open questions in sentence form. For example, “How can the client minimize its tax burden?” is more useful than “Tax.” Open questions – those that begin with what, how, or why– produce deeper insights than closed ones. In some cases, an issue tree can be sharpened by toggling between issue and hypothesis – working forward from an issue to identify the hypothesis, and back from the hypothesis to sharpen the relevant open question.

Once the problem has been structured, the next step is to prioritize the issues or hypotheses on which the team will focus its work. When prioritizing, it is common to use a two-by-two matrix – e.g., a matrix featuring “impact” and “ease of impact” as the two axes.

Applying some of these prioritization criteria will knock out portions of the issue tree altogether. Consider testing the issues against them all, albeit quickly, to help drive the prioritization process.

Once the criteria are defined, prioritizing should be straightforward: Simply map the issues to the framework and focus on those that score highest against the criteria.

As the team conducts analysis and learns more about the problem and the potential solution, make sure to revisit the prioritization matrix so as to remain focused on the highest-priority issues.

The issues might be:

• How can Alpha increase revenue?
• How can Alpha reduce cost?

Each of these issues is then further broken down into deeper insights to solutions.

If the prioritization has been carried out effectively, the team will have clarified the key issues or hypotheses that must be subjected to analysis. The aim of these analyses is to prove the hypotheses true or false, or to develop useful perspectives on each key issue. Now the task is to design an effective and efficient workplan for conducting the analyses.

Transforming the prioritized problem structure into a workplan involves two main tasks:

• Define the blocks of work that need to be undertaken. Articulate as clearly as possible the desired end products and the analysis necessary to produce them, and estimate the resources and time required.
• Sequence the work blocks in a way that matches the available resources to the need to deliver against key engagement milestones (e.g., important meetings, progress reviews), as well as to the overall pacing of the engagement (i.e., weekly or twice-weekly meetings, and so on).

A good workplan will detail the following for each issue or hypothesis: analyses, end products, sources, and timing and responsibility. Developing the workplan takes time; doing it well requires working through the definition of each element of the workplan in a rigorous and methodical fashion.

This is the most difficult element of the problem-solving process. After a period of being immersed in the details, it is crucial to step back and distinguish the important from the merely interesting. Distinctive problem solvers seek the essence of the story that will underpin a crisp recommendation for action.

Although synthesis appears, formally speaking, as the penultimate step in the process, it should happen throughout. Ideally, after you have made almost any analytical progress, you should attempt to articulate the “Day 1” or “Week 1” answer. Continue to synthesize as you go along. This will remind the team of the question you are trying to answer, assist prioritization, highlight the logical links of the emerging solution, and ensure that you have a story ready to articulate at all times during the study.

McKinsey’s primary tool for synthesizing is the pyramid principle. Essentially, this principle asserts that every synthesis should explain a single concept, per the “governing thought.” The supporting ideas in the synthesis form a thought hierarchy proceeding in a logical structure from the most detailed facts to the governing thought, ruthlessly excluding the interesting but irrelevant.

While this hierarchy can be laid out as a tree (like with issue and hypothesis trees), the best problem solvers capture it by creating dot-dash storylines — the Pyramid Structure for Grouping Arguments.

Pyramid Structure for Grouping Arguments

• Focus on action. Articulate the thoughts at each level of the pyramid as declarative sentences, not as topics. For example, “expansion” is a topic; “We need to expand into the European market” is a declarative sentence.
• Use storylines. PowerPoint is poor at highlighting logical connections, therefore is not a good tool for synthesis. A storyline will clarify elements that may be ambiguous in the PowerPoint presentation.
• Keep the emerging storyline visible. Many teams find that posting the storyline or story- board on the team-room wall helps keep the thinking focused. It also helps in bringing the client along.
• Use the situation-complication-resolution structure. The situation is the reason there is action to be taken. The com- plication is why the situation needs thinking through – typically an industry or client challenge. The resolution is the answer.
• Down the pyramid: does each governing thought pose a single question that is answered completely by the group of boxes below it?
• Across: is each level within the pyramid MECE?
• Up: does each group of boxes, taken together, provide one answer – one “so what?” – that is essentially the governing thought above it?
• Test the solution. What would it mean if your hypotheses all came true?

Three Horizons of Engagement Planning

It’s useful to match the workplan to three horizons:

• What is expected at the end of the engagement
• What is expected at key progress reviews
• What is due at daily and/or weekly team meetings

The detail in the workplan will typically be greater for the near term (the next week) than for the long term (the study horizon), especially early in a new engagement when considerable ambiguity about the end state remains.

It is at this point that we address the client’s questions: “What do I do, and how do I do it?” This means not offering actionable recommendations, along with a plan and client commitment for implementation.

The essence of this step is to translate the overall solution into the actions required to deliver sustained impact. A pragmatic action plan should include:

• Relevant initiatives, along with a clear sequence, timing, and mapping of activities required
• Clear owners for each initiative
• Key success factors and the challenges involved in delivering on the initiatives

Crucial questions to ask as you build recommendations for organizational change are:

• Does each person who needs to change (from the CEO to the front line) understand what he or she needs to change and why, and is he or she committed to it?
• Are key leaders and role models throughout the organization personally committed to behaving differently?
• Has the client set in place the necessary formal mechanisms to reinforce the desired change?
• Does the client have the skills and confidence to behave in the desired new way?

Great problem solvers identify unique disruptions and discontinuities, novel insights, and step-out opportunities that lead to truly distinctive impact. This is done by applying a number of practices throughout the problem-solving process to help develop these insights.

Expand: Construct multiple perspectives

Identifying alternative ways of looking at the problem expands the range of possibilities, opens you up to innovative ideas, and allows you to formulate more powerful hypotheses. Questions that help here include:

• What changes if I think from the perspective of a customer, or a supplier, or a frontline employee, or a competitor?
• How have other industries viewed and addressed this same problem?
• What would it mean if the client sought to run the company like a low-cost airline or a cosmetics manufacturer?

Link: Identify relationships

Strong problem solvers discern connections and recognize patterns in two different ways:

• They seek out the ways in which different problem elements – issues, hypotheses, analyses, work elements, findings, answers, and recommendations – relate to one another.
• They use these relationships throughout the basic problem-solving process to identify efficient problem-solving approaches, novel solutions, and more powerful syntheses.

Distill: Find the essence

Cutting through complexity to identify the heart of the problem and its solution is a critical skill.

• Identify the critical problem elements. Are there some issues, approaches, or options that can be eliminated completely because they won’t make a significant difference to the solution?
• Consider how complex the different elements are and how long it will take to complete them. Wherever possible, quickly advance simpler parts of the problem that can inform more complex or time-consuming elements.

Lead: Stay ahead/step back

Without getting ahead of the client, you cannot be distinctive. Paradoxically, to get ahead – and stay ahead – it is often necessary to step back from the problem to validate or revalidate the approach and the solution.

• Spend time thinking one or more steps ahead of the client and team.
• Constantly check and challenge the rigor of the underlying data and analysis.
• Stress-test the whole emerging recommendation
• Challenge the solution against a set of hurdles. Does it satisfy the criteria for success as set out on the Problem Statement Worksheet?

No matter how skilled, knowledgeable, or experienced you are, you will never create the most distinctive solution on your own. The best problem solvers know how to leverage the power of their team, clients, the Firm, and outside parties. Seeking the right expertise at the right time, and leveraging it in the right way, are ultimately how we bring distinctiveness to our work, how we maximize efficiency, and how we learn.

When solving a problem, it is important to ask, “Have I accessed all the sources of insight that are available?” Here are the sources you should consider:

• Your core team
• The client’s suppliers and customers
• Internal experts and knowledge
• External sources of knowledge
• Communications specialists

The key here is to think open, not closed. Opening up to varied sources of data and perspectives furthers our mission to develop truly innovative and distinctive solutions for our clients.

• McKinsey Staff Paper 66 — not published by McKinsey but possibly found through an internet search
• The McKinsey Way , 1999, by Ethan M. Rasiel

For consultants

© Copyright 2024 by Umbrex

Designed by our friends at Filez

• Privacy Policy
• Terms of Service

McKinsey PST: Question Types, Study Plan & Mock Tests

The McKinsey Problem Solving Test (McKinsey PST) is a very crucial part of the McKinsey recruitment process. It is where most of the applicant pool is eliminated, and yet there are so few resources to help you prepare for it. Fortunately, you’ve found the ultimate guide to nail the test with an unbelievable level of detail!

Table of Contents

McKinsey PST overview

What is the mckinsey pst.

The McKinsey Problem Solving Test (or PST) is a paper-based test used at McKinsey & Company to select candidates for the case interviews. The PST is conducted after resume screening; it has 6 types of question, testing the candidate on 3 crucial problem-solving skills – data interpretation, mental calculations and logical reasoning.

McKinsey PST passing score / Acceptance rate

McKinsey has never officially stated the passing score or acceptance rate for the PST. However, these numbers can be estimated using reports from test-takers, with passing score being around 70%, and acceptance rate at roughly 30-35% (1 in every 3 candidates will pass).

Does McKinsey still use the PST?

Currently, the McKinsey PST is being replaced by the new Problem-Solving Game. However, the transition is not complete globally. In addition, the new Problem-Solving Game still retains the core principles from the old test, so preparing for the PST is still relevant.

Why do they need PST?

It’s very similar to what we have here! McKinsey believes that the gap between CV screening and in-person case interviews is too big. The firm may miss many good candidates with bad resumes or may interview too many candidates who don’t live up to their resumes.

At the end of the day, in-person interviews are expensive, and the Problem Solving Test provides a cost-effective solution.

Who has to take the McKinsey PST?

Every candidate who passes the resume screening round has to take the McKinsey PST – if they apply for the management consulting track. Some report indicates that MBA applicants might be waived from the test – however, this is rare and you should confirm with the target office HR.

What does PST look like?

26 questions, 1 hour, paper-based, and no calculator! The test has 26 multiple choice questions set within the context of 3 business cases. A candidate has exactly 60 minutes to finish the test. He will be provided with a watch, pencils, scratch paper, and the test is in a paper-based format. No calculator is allowed. No personal assistant is allowed. Just you and the test!

As the business landscape is changing, candidate recruitment has become increasingly complex. This requires another way of presenting PST content for McKinsey. They have changed the format into gamification and planned to implement this method to all McKinsey offices within 2020. Visit the mock game designed exclusively for MConsultingPrep followers!

PST vs. GMAT vs. SAT?

If you are new to PST, you may hear the myth that PST is similar to the Math section in GMAT or SAT. In fact, being excellent in SAT Math does help with quantitative calculation in PST, however, the context is different. The SAT Math section includes only simple calculations in simple context; meanwhile, logic in business problems is highly emphasized in PST.

Why is this test so challenging?

• You will not have enough time to properly think through each question.

If you are going to read every single word in the case background and do every calculation “asked”, you will not be able to finish the test. You will need to know how to work through stress and pressure, how to give out “high-probability” answers instead of “exactly-right” ones, and how to painlessly skip questions.

• You will be judged by a machine (or if by a person, they will try to be like a machine).

I myself feel much more comfortable in an in-person case interview, where I will be fine as long as I have the right tactics. The interviewers generally allow candidates to make a few mistakes here and there, to slow down the process if needed, and to ask for help when necessary. In the PST, the result is all that matters. There will be no mercy granted. If you don’t get enough correct answers, you are out.

• On top of those, the questions themselves are hard!

A huge amount of logical and analytical reasoning is required. You will need to really grasp the logical fundamentals of how management consultants solve problems, e.g: the difference between a conclusion vs a hypothesis; etc.

How to prepare for the McKinsey PST?

Step 1 : Seek confirmation from the target office if you must take the PST

Step 2: Get familiar with official sample tests from McKinsey

Step 3 : Learn the logic of each question type, common mistakes, and how to answer correctly

Step 4: Practice mental math to improve calculation speed and accuracy

Step 5 : Practice speed reading and data selection

Step 6 : Practice answering individual question type under time pressure

Step 7 : Do one mock test with simulated test conditions

Step 8 : Review the test and your performance

Step 9 : Return to step 3, 4, 5, 6 to for further practice on weakness

Step 10 : Do mock test again, repeat until you can confidently hit 90% or more

McKinsey PST question types

Some emailed me and asked what they should do if there were 3 days left until the PST. I would still suggest you follow our spirit of learning. When you have little time, choose which question you want to prioritize, tackle it carefully and decide how deep you will go into it. If I were in your shoes, I would use this prioritization table

In addition to the above, I would suggest you practice your math in these last days. The learning curve at the beginning is usually high for anything, including  Mental Math . Doing better math can significantly improve your test score. It reduces simple mistakes (which can still cost you points) and allows you to have more time for other questions.

McKinsey PST study plan

These are the same steps I took to pass the PST years ago, and the basis for my product – the PST Comprehensive Package which has helped countless candidates pass this notoriously difficult consulting test.

Step 1. Answer the questions correctly

You are recommended to first answer all the test questions correctly without time pressure. Before, you need to break down all the questions into 6 question types as below. Besides, it is necessary to understand how these questions are constructed, what are their logical foundation, and even how the wrong choices are made.

Step 2. Answer the questions quickly

There will be no turning point that indicates you it is about time to move to the second step, but you should gradually try to answer the questions both correctly and quickly. Once getting all the correct answers without clocking, you should put yourself under time constraint. If you don’t know how to increase your speed, you have better to start with 3 tips below:

#1. Increase your reading speed.

The PST contains 3 business cases with various number and case context, which requires you to read as fast as possible (of course correctly). Many candidates cannot finish their PST because of being overwhelmed in text. The Princeton intensive program is helpfulto increase your speed by 2 times faster without difficulties.

#2. Increase your calculator speed.

Half of the test involves math, which have no way to improve but practice rigorously. The more you practice, the better you gain. If you haven’t found any efficient tips, try our method to score well with Mental Math!

#3. Embrace test-hacking tips.

After years of coaching students to MBB, I have collected wonderful tips and tricks to nail your test with less effort! Find out some of those tricks as below or check out the McKinsey PST Comprehensive for more detail!

Reading facts

Reading-facts is the most common question type in the McKinsey PST (38%) and the BCG Potential Test (up to 100%). These questions test your ability to understand the facts/data itself. There will be no inferring, logic, hypothesizing, or creativity needed. Instead, proficiency in chart reading and calculations will be handy here. See the picture below for an illustration.

QUESTION FORMAT

The following are a few examples of typical question formats:

• Which of the following values is the best estimate of…?
• Which of the following statements is valid based on the data…?
• Which of the following can be concluded from Exhibit…?

Sometimes even though the word “conclude” is used, questions don’t require any logical reasoning, just your ability to read facts and perform basic calculations. In these cases, I still classify these questions into the reading-facts category.

SAMPLE QUESTION

This question is written based on an official McKinsey practice PST.

Which of the following statements is valid based on the data in Table 1?

A) Soccer revenue was more than $325 thousand five years ago

B) Tennis revenue grew by no less than 1.2% in each of the last five years

C) The total revenue of Saigon League did not grow at all in the last five years

D) If the growth rate in the last 5 years is maintained, Soccer revenue will be more than $420K 5 years from now.

You will see that no tricky logical reasoning is needed here. All you need in order to answer these questions is the ability to read the table and perform calculations correctly.

COMMON MISTAKES

A good way to determine the correct option is to investigate if the other three are wrong. Now there are two ways you can be wrong in this type of PST question: (1) Incorrect calculation and (2) Misread the facts/ data

Type #2 is harder to understand, so I will dive deeper into that here. Let’s look at the sample question above. Hope you got D, the correct choice.

Example 1: How you can misread the data – Why A is wrong

If you overlook the phrase “Average annual” on column 3′s title, then Soccer revenue 5 years ago would be: $342.8 k / (100% + 4.5%) = $328 k, which is more than $325 thousand. Revenue grew at an average rate of 4.5% in EACH of the last 5 years. It is NOT 4.5% over the whole period of 5 years.

Example 2: How you can misread the data – Why B is wrong

If you overlook the phrase “Average” in column 3′s title, then it seems like the growth rate for each of the last 5 years is exactly 1.2%, no more, no less. B, therefore, seems correct. However, as indicated in the table, 1.2% is just an average figure, which means there are years with a lower or higher growth rate.

Example 3: How you can misread the data – Why C is wrong

If you overlook the second column of the table (Revenue this year column), then it seems like the average overall growth rate for Saigon League is 0% (4.5% + 3.3% + 1.2% – 9% = 0%), which makes C correct. However, different lines have different sizes. Even though Golf had negative growth of 9%, it is a relatively small line so its impact on the overall rate is small as well.

Hope that you will not make this mistake in your real PST. Again, PST is a simple test… when you have enough time!

PREPARATION GUIDE

Skill #1: Calculation

We have a detailed article on Consulting Math and how to strengthen your quantitative proficiency.

Skill #2: Chart/exhibit/table reading

Always take a moment to read and understand every single chart or graph you encounter in your everyday life.After all, practice makes perfect.

You can also improve your reading speed through an amazing speed reading program by Princeton University .

Skill #3: Attention to details

The devil is in the details. It’s the little things that can make or break a project, and no true consultants would let themselves be caught unaware.

Develop a habit in daily life. Have the mindset that I am not going to miss any stupid details.

For every practice question you get in this type, make sure you understand not only why an answer is right, but also why an answer is wrong, exactly like what I did above.

PRACTICE QUESTIONS

Which of the following statements is valid based on the data provided on Graph 3 above?

A) The Service-to-Agriculture ratio increased by more than 3 times between 1995 and 2007

B) Service GDP in 1995 is more than Industry GDP in 2007

C) Agriculture is where GDP value dropped the most between 1995 and 2007

D) In 2007, Service GDP is no less than 6 times Agriculture GDP

Correct answer: D

If you want to practice more, check out my PST Comprehensive Package for questions and answers!

Fact-based conclusion

Once you get into consulting, you will probably hear the term “fact-based” a million times a day. Consulting is the business of making conclusions based on facts. Consultants face tons of different problems throughout the course of any project: from the top to the granular level, from function to function, from industry to industry, etc. Fact-based conclusion is such a fundamental aspect of consulting that it weighs in heavily on the PST.

Fact-based conclusion questions test your ability to draw and recognize sound and logical conclusions based on a set of data/facts provided. See the picture below for an illustration.

• Which of the following statements is a valid conclusion based on …?
• Which of the following statements can be concluded from …?

The McKinsey team has an interview with the Chief Operating Officer of the New Bingham Mine, Salt Lake City. During the interview, the following facts have been gathered:

• The factory must have at least one safety inspector 24 hours a day, seven days a week, in accordance with Federal and State labor regulations.
• To maximize operational efficiency, there must be exactly 10 line workers operating the mine.
• The mine operates from 8 am until 5 pm, Monday to Sunday.
• The mine employs 4 safety inspectors and 16 line workers to make 20 workers in total.
• The total weekly labor cost for the Bingham Mine is $16,000.

Which of the following statements is a valid conclusion?

A. One-fifth of the total labor cost for the mine is for safety inspectors.

B. At least one safety inspector must work more than 40 hours per week.

C. Line workers do not work more than 40 hours per week.

D. The majority of the mine’s labor cost is for line workers.

A – Fit-well but not fact-based

There are 4 inspectors out of 20 employees so it seems like the cost of the inspectors can very well be 1/5 of total labor cost. But a missing piece of data to conclude that is: does each person get a similar total income?

C – Fit well but not fact-based

The mine opens for 9 hours per day, 7 days per week, and there must be 10 line workers at a time, so it is 630 man-hours per week at the line positions. There are 16 line workers, so on average each of them only needs to work 39 hours per week. This seems to fit very well with the proposed conclusion: line workers do not work more than 40 hours per week. However, a missing piece of data to conclude is: does every line worker work the same amount of time (if not, there can be some who work over 40 hours while others work less)?

D – Fit well but not fact-based

Similar to A, there are more line workers, so it seems like the total cost for line workers is more than the total cost for safety inspectors. But a missing piece of data needed to conclude is: does each worker get paid the same amount?

=> Only B is proven true by the provided facts

There are 24 * 7 = 168 inspector hours needed in a week, equaling 42 hours per week per inspector. So there must be one who works more than 40 hours.

Identifying proven true conclusions is an important foundation to master all conclusion-related questions. However, most conclusion-related questions in the McKinsey Problem Solving Test will be given in other formats. In this section, we will learn about the two types of twists: (1) False conclusions and (2) Conclusions reversed . Let’s start with the first one.

TWIST TYPE 1: FALSE CONCLUSION

Any proposed conclusion must fall into one of the following three groups: Proven True, Proven False, and Unproven. This twist is when a question asks you to identify the False Conclusion instead of the True Conclusion.

• Which of the following statements is FALSE based on …?
• Which of the following statements is FALSE based on … ?

METHODOLOGY

A proposed conclusion is proven false when you can point out at least one instance where the conclusion is wrong. Similarly, with true conclusion questions, unproven conclusions should also not be selected.

Notice that proven FALSE conclusions are NOT conclusions not proven TRUE. A conclusion will stay unproven until it is proved to be TRUE or FALSE.

Which of the following statements is FALSE based on Table 1?

A. A, Inc. had lower average economic growth in the last five years than D, LTD.

B. A, Inc. had higher average economic growth in the last five years than D, LTD.

C. Investment risk rating is based on the difference between maximum and minimum revenue growth in the past five years.

D. Potential rating is based on the maximum recent revenue.

Of A and B, A seems to be false and B seems to be true. However, both of them are unproven. The maximum and minimum figures are not enough to conclude the average.

We don’t know if C is right or not, but we know that it is not proven false. In the provided data, there is no instance where the larger difference between maximum and minimum recent revenue growth indicates smaller risk (and vice versa).

With D, we know for sure that it is proven false because we can point out an instance where the assertion conflicts with the data (B Corp. vs. D, LTD.).

TWIST TYPE 2: CONCLUSIONS REVERSED

Very often, conclusion questions in the McKinsey Problem Solving Test are given in a reversed format. You will be given the conclusion first and asked to pick what facts/ data would be enough to come up with that conclusion.

The key to answering this type of question is to recognize which proposed fact makes the stated conclusion proven or unproven.

This question is written based on an official McKinsey practice PST:

FOCUS Travel is a premium Russian tourism company, offering tours to South East Asian countries. Facing the economic downturn, FOCUS revenue has been hurt badly. While the CFO (Chief Finance Officer) proposed an overall price cut to stay competitive, the CMO (Chief Marketing Officer) is concerned that a price reduction would negatively impact the premium perception of the brand, which drives a lot of sales.

Which of the following statements, if TRUE, would best support the CMO’s assertion?

A. In a recent survey, FOCUS’s customers quoted “price” as the most important indicator in choosing travel agencies in a list of ten factors.

B. In a recent survey, FOCUS’s customers quoted “price” as the most important indicator of quality in a list of ten factors.

C. In a recent survey, there were customers who said they would not buy FOCUS’s services if there was a 10% price increase.

D. In a recent survey, there were customers who said they would not buy FOCUS’s services if there was a 10% price decrease.

In this question, the “conclusion” has been given to us: Price reduction will negatively impact the premium perception, which will in turn negatively impact sales.

Of the four proposed answers, which facts are enough to prove the provided “conclusion” above?

A: This fact is only enough to conclude that price will impact sales. Not enough to prove that price reduction will negatively impact sales.

C: This fact is irrelevant.

D: This fact is not enough to conclude that price reduction will negatively impact sales because not all customers say so. The word “there were” can be understood as either a minority or a majority. It is only enough to conclude the proposed conclusions when “there were” is replaced with “the majority of” or “all“ .

With B, we can logically infer that price reduction will negatively impact the quality perception, which in turn will hurt to sales.

3.3. Root-cause reason

This question gives you a particular set of facts/data and asks you to identify what could be the cause for them. When doing a real consulting project, we consultants have to find out the root-cause reason. There may be various reasons that can cause the current situation, but the root-cause reason will help us tackle and solve it more efficiently. You can see the picture below for an illustration.

The following are a few examples of typical root-cause reason question format:

• Which of the following reasons, if TRUE, will help explain the Facts …?
• Which of the following does NOT explain the Facts …?
• Which of the following points is NOT a valid reason for the Facts …?

Only B is proven true by the provided facts

Facts provided: Visits to the website MConsultingPrep were relatively low last month.

Root-cause Reason Question: What reasons, if TRUE, would help explain the low traffic to MConsultingPrep last month?

The correct answers can be any of the following:

1. The quality of contents has been bad

2. Because of technical issues, some visitors could not access the website

3. Last month was December when the overall demand for job prep materials is lowest in the year

4. Other new consulting prep blogs opened recently

Fact-based Conclusion Question: What can be concluded from the data provided?

All of the statements above can be the reason for the stated fact, but NONE of them can be concluded from it.

An example of a statement that can be concluded: Because the conversion rate stayed constant over the years, revenue last month was relatively low.

What makes a statement NOT a potential reason for a particular fact?

There are two ways a statement cannot be the potential reason: (1) Wrong Subject and (2) Wrong Trend.

• A statement is (1) Wrong on Subject when the subject is irrelevant, which means the statement has zero effect on the phenomenon mentioned in the stated fact.
• A statement is (2) Wrong on Trend when the direction is reversed, which usually means the statement has a reversed effect on the phenomenon mentioned in the stated fact

Illustrative example Let’s continue with the simple example above. The Stated Fact: Visits to the MConsultingPrep blog were relatively low last month. (1) Example of a “Wrong Subject” statement: “Some new Investment Banking Prep blogs opened recently” Here the subject “Investment Banking Prep blogs” is irrelevant to the stated fact. The statement (1) will have zero effect on the stated fact. (2) Example of a “Wrong Trend” statement: “Some other existing Consulting Prep blogs closed recently” Here, even though the subject “Consulting Prep blogs” is relevant, the trend is reversed. The exit of Consulting Blogs will increase visits to MConsultingPrep. Therefore, statement (2) will have an opposite effect on the stated fact.

PRACTICE QUESTION

Fletcher is a major Steel producer in the Pacific continent. It has markets in New Zealand, Australia and other South East Asia countries. Of many types of steels, re-bar (reinforced bar) is typically used in high-rises and big construction projects.

There are three main groups of steel consumers in New Zealand:

• Homeowners purchase steel at retail sizes for purposes of self-constructing and self-renovating their homes
• Scaled private construction companies, who often contracts large construction projects and steel orders
• State-owned Enterprises (SOE), who build government’s projects such as roads, bridges, schools, hospitals, etc. (SOEs usually have bargaining power since steel providers need governments’ permissions in order to be legally used in particular countries.)

Table 1 below shows the size of re-bar steel market (in billions of $US)

Which of the following statements, if TRUE, best explains why future trends for South East Asia sales differ from sales in the other two markets?

A) South East Asia population is expected to grow strongest, which lead to high steel demand from individual homeowners.

B) South East Asia economy will be heavily based on SOE, so will the construction market.

C) South East Asia economy will shift toward privatization, so will the construction market.

D) Developed markets of New Zealand and Australia will have the most advanced steel production technology and facilities.

Correct answer: C

Word Problem

Word Problem is a quantitative question where the answer cannot be calculated directly from the data provided. Usually, we have to set up one or more equations in order to solve this kind of question. Word Problem questions in the McKinsey PST and Case Interviews are just the word problems we usually see in schools, GMAT… but put into business contexts. The method to solve them, therefore, is the same.

Table 1: Data on the Washing Room of Jean Valjean Restaurant

Suppose the restaurant opens 350 days a year. There are 3 meal shifts per day, 1 shift lasts 3 hours, 1 customer uses an average of 5 dishes per visit, and currently the restaurant hosts 530 customers on average daily.

What percentage of increase in the number of daily visits would be required in order to make purchasing the machines financially beneficial?

Step 1 . Convert data/facts into manageable and standardized format and units (only needed for complex questions).

Step 2 . Set up an equation with one (or more) unknown variables, i.e. X, Y, Z, etc.

Tips: Don’t worry about having to make the variable as the question asked. Just set up the equation in a way that makes the most sense to you as long as the variables can be easily converted to the asked variable. It will save much more time and helps you avoid silly mistakes.

Step 3 . Solve the equation and get the answer.

METHODOLOGY ILLUSTRATION

Let’s solve the sample question above together.

Step 1: This is a very complex question with many non-standardized and not ready-to-use data. If I am going to tackle this question on my PST, I would convert the provided figures and write them out on a table as follows.

Notice that I have converted all the necessary data points into the same unit of “Franc per day”.

The only data point not fully converted is the Labor cost in Manual Process (measured by the “per dish” variable), yet I want to make sure that I go as far as I can.

See how simple the problem is now!

Step 2: Now that we have very manageable data, let’s go ahead and set up an equation that will help us find the answer. The asked variable here is: what percent increase in current daily visits does Jean Valjean need?

As mentioned above, it is NOT necessary to put the variable question is looking for in the equation. In this case, doing so will result in a very awkward and complicated equation.

Instead, I set up the equation that makes the most sense to me (do note that there is more than one way to set up equations). Let Y be the “break-even size” (measured by people). I can easily calculate the percentage asked for after getting the break-even size.

Cost per day of Manual Process = Cost per day of Machine Process

Washing cost + Set up cost = Washing cost + Set up cost + other cost

Y x 5 dishes x 0.1 Franc + 30 Franc = 270 Franc + 90 Franc + 200 Franc

After executing step 1 and step 2, the problem becomes a lot easier. Now we have:

0.5 Y = 530

Y = 2 x 530

Once we have Y (the new “break-even” visit volume) of 2 * 530, we can quickly convert Y into the asked variable: What percent increase of 530 customers/day does Jean Valjean need?

The final answer is C.

Client Interpretation

In every consulting project, communication with the clients’ top-level (usually the Chairman or CEO) is always important. During my time with McKinsey, we usually hear an update every one or two weeks from our Project Director (usually a partner) on his meeting with the clients’ top level. Messages from those meetings are important on-going steers for the project. No surprise it makes up an entire question category in the Problem Solving Test.

Client Interpretation questions test your ability to read, understand, and interpret the messages the client is trying to convey in the case question or description. To some extent, this is very similar to GMAT verbal questions.

• Which of the following best summarizes the CEO’s concerns?
• Which of the following statements best describes the thoughts of the CEO regarding…?
• Based on the opinion of the head of the Department, which of the following statements is valid?
• Which of the following statements best describes the CEO’s aims for the McKinsey research?

Case context:

Mommy said she saw some dirty clothes on the dining table. She is also quite shocked to see Kevin’s toys in every room throughout the house. She even complains about how much time it takes her every night to clean up Kevin’s mess. “I will have to have a very straightforward conversation with Kevin tonight!”, said mom

Which of the following statements best describes the Mom’s concern?

A. Mom is not happy about too many of Kevin’s toys sitting on the dining table

B. Mom does not expect to see that many of Kevin’s toys in the house

C. Mom does not like to be responsible for anyone’s mess

D. Mom is too busy these days

E. Mom wants to talk to Kevin

F. Mom wants Kevin to be tidier

In this example, we continuously get small data points, all leading to one bottom-line, not explicitly mentioned but can be reasonably interpreted:

Kevin is too messy and mom doesn’t like that!

Notice that, the bottom-line here is not explicitly stated but it IS the bottom-line. All 4 sentences in the case context are small pieces of data leading to that final “so-what”. Having this “so-what” in mind, you can just skim through the answer and quickly pick F without concern about other choices.

In case you are curious about how other choices are “wrong-choice” …

Choices B and E are in fact right according to the case context, but not the bottom-line.

Choices A is simple wrong according to the case context (Tip #2)

Choices C and D are neither right or wrong according to the case context. There are not enough “evidence” to be reasonably interpreted using common sense.

TIPS AND TRICKS

Tip #1: Read the case description before going to multiple choices!

Normally the strategy of scanning through the answers first before going back to the case description works when you have a very long case description and don’t know where to look for the right information. Scanning through the answers helps you get a more focused read on the case description. However, the client’s assertion is typically found in a very short and specific part of the case description. So once you realize it’s a Client Interpretation question, go back to the case description and find that very specific part of the client’s assertion. Make sure you understand it very well. Then the rest of the work is just determining which of the four choices has the same meaning as the original assertion.

Tip #2: Cross out some obviously wrong choices …

… by recognizing a few words or short phrases that make a choice incorrectly reflect the client’s assertion. Sometimes, you can do this very quickly and effectively. If not, please see tips #3.

Tip #3: Catch the bottom-line, the “so-what” of client’s assertion

Client’s expression as quoted in the case context is always a bit blur and confusing. That is very realistic of what you may encounter in the real consulting work. It also makes these question types challenging. But in almost every situation, there is always one “so-what”, stated explicitly or implicitly. The trick here is to catch that so-what, ignore the noise, and go straight for the answer choice. Most of the time, the wrong choices DO contain a part of the client’s assertion, but either not the whole idea or the main, the bottom-line, the most important one!

Using this method, you can fly and land straight to the correct choice, not having to care too much about how wrong choices are made of. But if you are curious, some of the most common wrong-choice types:

• Choice that is simply wrong according to the client’s assertion (Tip #2 above).
• Choice that is in fact right, but is a minor point, NOT the bottom-line of the client’s assertion.
• Choice that seems to be right, but cannot be reasonably interpreted by common sense (not by scientifically supporting logic like in other question types).

Gangnam Market is a convenience-stores chain mainly in the Gangnam district, Seoul, Korea. Though it has been losing money almost every year since 2000, Gangnam Market secures a good deal of strategic locations in the highly populated Gangnam district. Recently, Gangnam Market was acquired by Lotte Mart in its aspiration to expand to the mini-market market. Lotte right away sets up a transformation project to get Gangnam Market back on track. The CEO of Gangnam Market states that aggressive transformation targets are fine for newly acquired stores with a similar operation model with Lotte’s big stores, but he hopes that the parent company is realistic about the convenience-stores model Gangnam has been operating with.

Which of the following statements best reflect the concerns of Gangnam Market’s CEO?

A) He is concerned that Gangnam Market will never be able to transform itself into Lotte system because Gangnam Market only presents in a specific geographic location

B) He is concerned that Lotte Mart sets transformation milestones that are too aggressive and not realistic for newly acquired companies like Gangnam Market

C) He is concerned that Lotte Mart’s transformation milestones are not realistic for companies with different operational model from Lotte Mart like Gangnam Market

D) He is concerned that Lotte Mart’s transformation targets are too high for Gangnam Market because it has been losing money for a while

Formulae questions are generally like word problems in PST where you don’t have to provide the actual numerical results, just the formulae containing letters representing input variables. Normally, the question will provide input variables in letter format and you will be asked to provide the right formulae in letter format (e.g. it takes the process center T hours to process each file. If the speed is doubled, it takes T/2 hours to process each file). This is one of the easiest PST question types on the McKinsey PST. Let’s make sure you don’t lose points on any question of this type in your exam!

Table 3.6.1: Labor Cost and Processing Data – Holcim Missouri plant

Which of the following formulae accurately calculates the annual cement output per worker?

A. (c x p) / (b + w)

B. (c x p) / [(b + w) x 12]

C. 144 x (c x p) / (b + w)

D. 12 x (c x p) / (b + w)

FORMULAE FOR SUCCESS IN FORMULAE QUESTIONS

Formula 1: Calculate first before looking at the given option

A popular technique for multiple-choice questions is to read the answers first before coming back to the facts. However, that technique would not help you with Formulae Questions. The reason for this is that, often, the end-result formula has already been simplified (e.g. canceling out the same variable on both numerator and denominator) as much as possible. It gives you neither the path to get there nor any hints on how to solve the problem. For instance, when you look at the four options in the example above, does any of them give you a sense of what it represents or how to get there? What does (c x p) represent? What do you get by multiplying Cement output by Monthly labor income?

Formula 2: Divide the problem into smaller pieces (take one step at a time)

This is the universal tip for everybody in the consulting industry, and it also works great here! Often, the result cannot be directly calculated from the provided variables. However, if you take an extra step in-between, the problem becomes a lot easier. Let’s solve the sample question above together to illustrate this point. I broke the problem into smaller steps as below:

• Step 1: Annual cement output per worker = Total annual cement output / Total number of workers
• Step 2: Since we already have Total annual cement output of (c), the next step is to calculate the total number of workers. Total number of workers = Total labor cost / Salary of 1 worker Both Total labor cost and salary are provided. Bingo!
• Step 3: Simplify the final formulae

Formula 3: Get the reading-facts tools right

In some aspects, the formulae question is also a tweaked version of reading-facts questions. You still need to read some facts and perform some calculations (with letters instead of real numbers). Therefore, it is important to master those reading-facts tools and apply them here.

Illustration of a usual mistake: Now come back to Step 2 above and explicitly solve it.

Step 2: Total number of workers = Total labor cost / Salary of 1 worker = (b + w) / p

Step 3: Annual cement output per worker = c / [(b + w) / p] = (c x p) / (b + w)]

Chosen choice: A

Unfortunately, A is NOT the correct answer, because the above calculation doesn’t take into account the difference in units – the salary is on a monthly basis whereas the total labor cost is on an annual basis. If you convert the unit, the final choice should be D.

No matter how beautifully you have tackled the problem, you will not get any credit if small mistakes like this slip through the crack. Make sure you don’t get blindsided by this kind of pitfall!

VICEM is a leading cement company in South East Asia. The following data regarding its business and production has been gathered.

Table 3.6.2: VICEM Business and Production data

Clinker factor is defined as the amount of clinker needed to produce 100 units of cement.

Which of the following formulas calculates the amount of clinker (in tons) needed to purchase in a year?

A) [(s x f) / 100] – c

B) [(p – s) / 100] – c

C) (p x f) – c

D) [(p x f) / 100] – c

 ANSWER KEY

McKinsey PST sample test

Download McKinsey PST practice test (PDF): TOYO case .

More free materials like this can be found in our Prospective Candidate Starter Pack – a collection of beginner’s materials to consulting resume, screening tests and case interviews. 

Scoring in the McKinsey PSG/Digital Assessment

The scoring mechanism in the McKinsey Digital Assessment

Related product

McKinsey Solve Simulation (All-in-One)

The one and only existing platform to practice three mini-games of McKinsey Solve in a simulated setting

This article will give a detailed explanation of failing the test and practical advice to minimize the chance of poor performance in the McKinsey game.

The McKinsey Solve (other names: PSG, Problem Solving Game, Digital Assessment, Imbellus) is a two-piece gamified test designed by Imbellus for McKinsey.

There are 2 techniques to boost your reading speed. Learn how to practice them effectively & overcome 3 common loopholes that limit your reading performance.

McKinsey Problem Solving Game – Guide 2023

Games-based assessments  are being used by a number of the  top strategy consulting firms  now. BCG has partnered with  Pymetrics and launched a BCG Online Case, Arctic Shores is working with Strategy& (via PwC), and McKinsey launched their problem-solving game developed with Imbellus in 2019.​

The game (officially called Solve, but also referred to as the problem-solving game/PSG, the Imbellus game, or the digital assessment) replaces the in-person, pen-and-paper te­st that McKinsey has used for many years up until recently (the McKinsey Problem Solving Test). The game proved very effective in assessing candidates more holistically while reducing bias against those unfamiliar with standardized testing and helping scale recruitment during the era of pandemic-driven lockdowns. As of May 2020, it has been used to test 15,000 McKinsey applicants in more than 30 countries. These numbers have undoubtedly grown exponentially since then as more cohorts take the test and McKinsey rolls it out to the rest of its firm network.​

Overall games-based assessments are gaining popularity for the ability to  filter down the candidate pool  in an intuitive, unbiased way that tests both  numerical reasoning   and  logical reasoning skills . The McKinsey digital assessment is used for exactly that purpose.

• 1. Traits They Are Testing in the McKinsey Digital Assessment​
• 1.1 Critical Thinking
• 1.2 Decision-making
• 1.3 Metacognition
• 1.4 Situational Awareness
• 1.5 Systems Thinking
• 2. Look And Feel of the McKinsey Digital Assessment
• 3. Structure of the McKinsey Digital Assessment
• 4. Top Tips For the McKinsey Digital Assessment
• 5. About the Author

The McKinsey digital assessment provides a way of testing candidates'  thinking ability and personality traits  that are harder to revise for and therefore offers a way of testing that does not reward those that prepare more extensively. It also provides a safe environment to test how  comfortable candidates are making decisions with imperfect information , a skill particularly important for strategy consultants.​

McKinsey prides itself on being a firm with some of the leading thinkers in the world and has been described as the ‘ CEO factory ’ for its alumni list that includes Cheryl Sandberg (COO of Facebook), Sundar Pichai (CEO of Alphabet and Google), James Gorman (CEO of Morgan Stanley), and many more. For this reason, it is unsurprising that their games-based assessment focuses on  testing thinking over personality traits .​

The five skills that McKinsey specifically looks to test with their digital assessment are:​

Critical thinking  is the conceptualizing, analyzing, and synthesizing of information based on observation, experience, reflection, or reasoning. For strategy consultants such as McKinsey, this is an important skill as client problems are often  unique and complex . To reach clear and concise recommendations or conclusions, strategy consultants must  practice strong critical thinking skills  to reduce the noise down to the critical points only.​

Decision-making  based on fragmented, imperfect information is critical as McKinsey advises some of the world’s largest companies. The discipline of strategy consulting brings structure and logic to some of the most important decisions CEOs will make in their tenure and so McKinsey expects all their consultants to be  competent and comfortable making decisive decisions .​

Metacognition  is the ability to  assess your own thinking and learning . Throughout a client engagement, a consultant’s knowledge and information base will increase and perhaps change the previous opinions put forward. The ability to  critique and change thinking  and logical reasoning based on the emergence of new information is important to reach the best possible outcome for the client.​

Situational awareness  has historically been tested using situational judgment tests and is the decision-making of an individual in a social-based scenario, such as the workplace. As consulting is a project-based, client-facing profession, the ability to make sound,  appropriate decisions  is important to building and  maintaining working relationships .​

Systems thinking  is the holistic approach to analysis that considers the whole system, its individual parts, and how they interact with each other. Organizations and business models can all be conceptualized using systems thinking and it is also a strategy consultant's preferred way to  isolate issues and present recommendations  as it makes it easy for clients to understand their thinking and where it fits in the wider picture.

It is important to note that candidates are continuously assessed on these traits throughout the game and not just based on the outcomes at the end. Even something as minor as a keystroke, a click, or a movement of the mouse will be tracked and assessed. The traits will then be benchmarked against a benchmark to see if the candidates will be a good fit for the firm.

The McKinsey digital assessment is  played on a desktop  rather than a smartphone like other types of games. It looks and feels like a PC game similar to those that were popular 15 years ago such as SIMs and is  highly intuitive for the user to navigate .

In the McKinsey digital assessment, candidates have around  70 minutes  to complete two game scenarios (tutorial time is excluded), selected from a pool of six known ones.

The six  possible scenarios  in the digital assessment that have been published by McKinsey include:​

Scenario 1: Ecosystem Management

Scenario 2: plant defense, scenario 3: disaster management, scenario 4: disease management, scenario 5: migration management, scenario 6: redrock study.

Objective : To build a self-sustaining natural ecosystem in a coral reef or a mountain range.

The candidate is provided with a selection of different animals and plants, each requiring and providing varying amounts of nutrients, as well as needing different living conditions. The candidate must assess the benefits of each and  select an optimal combination  of species and location that will ensure a  sustainable ecosystem .​

The candidate needs to build a sustainable chain of 8 species in order to successfully pass this game.

Objective:  To protect an endangered species of plant from incoming invaders​.

The routes of invaders are shown on a grid that increases in size during the game. Using the combination of a limited number of defenders (i.e., predators that hunt the invaders) and terrain (which slows down or blocks the path of the invaders), the user must  prevent the plant in danger  from being reached by the invader for as long as possible.​

Objective : To identify an incoming natural disaster and take necessary evasive action for a group of animals.​

Symptoms of a natural disaster are presented to the candidate such as wind speed, precipitation, and air temperature. Using this information, the candidate has to identify a natural disaster . Each type of disaster has a different expected impact on the island, where a group of animals lives.​

Knowing this, the candidate must choose  where to relocate the group of animals  whilst ensuring they will be protected, sheltered, fed, and watered sustainably in the new location.

Objective : To identify a mysterious disease spreading through a population and the animals that could be affected by it.​

An animal population is showing  symptoms of a disease . Based on the symptoms detected, the candidate must conclude which animals will be affected next and the rules that will lead to the infection.

There are usually two maps in this game, with the second one being substantially more complex since the number of variables for each animal will increase.

Objective : To migrate a group of animals on a path from point A to point B while maximizing the number of animals surviving.

The candidate starts each map with a set of allocated resources (e.g., apples, water, nuts) and is presented with many branching paths to help their animal group reach the final destination. At each step, a certain number of resources will be consumed; the candidate will also be able to collect additional resources and animals at each step. If the candidate has insufficient resources for a specific step, a few animals will be lost.

With this in mind, the candidate must identify the resources needed for survival, plan the path to collect those resources and minimize movements to ultimately reach the final destination with as many animals as possible.  

Objective : To select relevant information out of text, graphs, and tables provided and answer a few numerical questions.

This is the new entry between the McKinsey games as it was first launched in 2022.

The candidate will see information related to a few animal species, including text paragraphs, graphs, and numbers, and will have to select relevant parts to use for his/her research. The information can be dragged and dropped into a separate part of the screen and collected in a research journal.

After the research phase, the candidate will have to use the information collected to answer three quantitative questions related to the animal species.

Here are some  key tips  to ensure you ace the McKinsey digital assessment:​

1. Use trusted prep material for the test – Guides like the Imbellus Solve Game Secrets guide  or the  Imbellus Solve Combo can help you to be ready for the game and learn tips and tricks to save precious time during the assessment. With 300+ 5-star reviews, you can be confident that these guides will deliver what they promise. 

2. Utilize an Excel template to speed up time during the Ecosystem Game  – During the common first game - the Ecosystem Management - you can greatly increase your speed with an Excel tool. The Imbellus Solve Combo includes an automated Excel that can help you to build a chain in as little as 16 minutes and complete the Ecosystem in less than 70% of the time required.

3. Take advantage of the tutorials to get ready  – Before each game, you will have a short tutorial during which time is not counted. You can use the tutorial to have a break, understand the rules of the game and get ready for the next part of the assessment. 

4. Take the assessment in a quiet environment  – The games take approximately 70 minutes. Ensuring you are taking the test in an environment without distractions will increase the chances of optimal performance in each game.​

5. Complete the assessment at the time of your peak performance – For most people, the cognitive ability is higher in the morning when they are most awake and alert. For tasks requiring focus and attention, this is particularly important, thus taking the games in the morning will likely increase your performance.

Make sure to check out the  Consulting Q&A threads  about the McKinsey Problem Solving Game   to receive  insights from former management consultants  as well as candidates who have  passed the Imbellus test !

By now you have learned a lot about how to master the  McKinsey Problem Solving Game . With all the information from the article and  further preparation material , you will be perfectly prepared to ace the Imbellus test and make it to the first round of the  McKinsey interview !

As soon as you receive the invitation to the interview, don't forget to read through the articles on the McKinsey Problem Solving Interview as well as those on how to master the  McKinsey Personal Experience Interview (PEI) . Those will give you guidance for your further case interview preparation and will help you  land the job you want at McKinsey!

#1 Expert for Coaching Sessions (4.000+) | 1.400+ 5-star Reviews with 100% Recommendation Rate | Ex BCG | 9+ Years of Coaching

• Professional Experience: BCG
• Languages: English, Italian, Spanish
• Location: Singapore

Francesco is an interview coach, former BCG consultant, and tech entrepreneur. He is the #1 coach on PrepLounge.com for meetings done, where he completed more than 3.000 expert sessions. As a coach for consulting interviews, Francesco helped hundreds of candidates to land offers from McKinsey, BCG, and Bain. Since 2016, he organizes consulting boot camps in some of the leading universities in Europe. As a consultant, Francesco joined BCG in the Milan office, where he worked on projects in the energy, industrial goods, and consumer goods sectors. After BCG, he worked in venture capital in Germany as an angel fund associate. As an entrepreneur, Francesco founded two companies in Europe and Asia in the entertainment and EdTech sectors. He is currently leading a Singapore-based company and supporting startups as a strategic advisor.

Continue to Learn

McKinsey Internship – Apply for an Internship at McKinsey

MBB Consulting Salary – How Much Money Can You Make at MBB?

Get insights from a top consultant!

Women in Consulting: 8 Tips from Female Consulting Coaches

Questions on this blog article

Time suggested, excel - process score.

• Select category
• General Feedback
• Case Interview Preparation
• Technical Problems

Career in Consulting

Mastering the McKinsey Problem Solving Game in 2024

The McKinsey Problem Solving Game is a gamified test to screen candidates.

Your college’s reputation and GPA or GMAT score are not enough anymore.

Now, you must pass the McKinsey Problem Solving Game to get interviews .

And like everything else at McKinsey: it’s very selective.

Thus, in this guide, you’ll learn:

• What the McKinsey Problem Solving Game is
• Which skills are assessed during the test
• What are your chances to pass
• What technical information you must know (duration, constraints, etc.)
• How to tackle the game’s various scenarios
• How to prepare for the McKinsey PSG
• And lots more.

Update July 2023 : you’ll also find an in-depth analysis of the newest Redrock scenario in this guide.

If you want to practice the McKinsey Solve beforehand to ensure no surprises on test day, check out PSG Secrets’  McKinsey Solve simulation . These exercises simulate the actual exercises you’ll work through on test day.

Let’s dive in right now!

Table of Contents

Get the latest data about salaries in consulting

Understanding the mckinsey problem solving game.

Imagine yourself in a beautiful, serene forest populated by many kinds of wildlife. As you take in the flora and fauna, you learn about an urgent matter demanding your attention: the animals quickly succumb to an unknown illness. It’s up to you to figure out what to do – and then act quickly to protect what you can.

Are you familiar with this paragraph?

This is the description of one of the McKinsey Problem Solving Game scenarios .

It’s a gamified test to assess candidates’ problem solving skills

The McKinsey Problem Solving Game, also known as the McKinsey Digital Assessment, is designed to evaluate your cognitive ability and problem-solving skills in a fun and engaging way .

But, unlike traditional testing methods, this innovative digital assessment uses the Imbellus software to assess the quality of solutions generated through mini-games, such as the Ecosystem Building Game and the Redrock Study.

But how does it work, and how can you prepare for this unique recruitment process?

Let’s dive deeper into the game’s purpose and key components.

The Purpose of the Game is to screen candidates

The McKinsey Problem Solving Game is used to screen candidates and is part of the recruiting process.

Interviewing candidates is expensive.

Thus, the McKinsey Problem Solving Game evaluates if candidates possess the characteristics to become successful consultants before interviewing those candidates .

To do so, the game assesses five key cognitive abilities:

• Critical thinking,
• Data decision making,
• Meta-cognition,
• Situational awareness,
• Systems thinking.

And McKinsey will use the test taker’s score for these five criteria to predict the candidate’s likelihood of thriving at McKinsey .

This innovative approach to candidate evaluation goes beyond traditional testing methods.

It utilizes real-time data such as mouse movement, keystrokes, and clicks to assess a candidate’s thinking process.

In other words:

The game’s scoring system considers both the quality of the solutions generated and the efficiency and organization of the approach .

Note: The Solve assessment was developed and iterated by Imbellus ( now owned by gaming giant Roblox ) to replace the McKinsey PST

Note: McKinsey Solve, McKinsey Imbellus, McKinsey Game, Imbellus Test, McKinsey Digital Assessment, and McKinsey Problem Solving Game are all synonyms.

Related article : check this article to learn about the McKinsey recruitment process .

Test takers are asked to play 2 out of 6 mini-games

The McKinsey Problem Solving Game is divided into several mini-games, each designed to assess different aspects of your problem-solving skills.

The game features scenarios, time restrictions, and a scoring system, making it similar to a video game.

As mentioned in the above picture, since March 2023, the two scenarios you’ll most likely encounter are the Ecosystem Game and Redrock Study.

In the Ecosystem Building Mini Game ?

The sustainability of the constructed ecosystem and the efficiency and organization of the approach taken are evaluated.

Secondly, the Redrock Study is an updated version of the original PST assessment, focusing on chart reading, percentage calculations, and data interpretation .

To succeed in this mini-game, candidates must be able to analyze data and make informed decisions based on the available information.

There is no right or wrong answer

Like case interviews, there is no right or wrong answer.

Like other top consulting firms, McKinsey is more keen to evaluate candidates’ thinking process.

In other words, your decision making process is as important as your answer .

Finally, check this video – from McKinsey’s website – explaining what to expect in the Problem Solving Game.

To see what these games actually look and feel like, you can practice these games through PSG Secrets’  McKinsey Solve simulation .

Tackling the Ecosystem Building Scenario

The Ecosystem Building scenario is a core McKinsey Problem Solving Game component, requiring candidates to construct a balanced marine or terrestrial ecosystem.

As stated at the beginning of the game, the goal is threefold:

• Select 8 species (from a list of 39 species) that must survive as an ecosystem
• Choose a location for the ecosystem
• Submit your ecosystem

To build this sustainable ecosystem, you must do the following:

• Terrain specifications: the location of the ecosystem must meet the living conditions for the 8 species you’ll select
• Calories balance: Each species must be fed with enough calories from food to sustain itself.
• Food chain management: each species must not be eaten into extinction by its predators.

The next three sections will examine the challenges and strategies for success in the Ecosystem Building scenario .

Terrain Specifications

Understanding terrain specifications is crucial for success in the Ecosystem Building scenario, as it directly impacts species selection.

The terrain specifications refer to the environmental conditions of a given location, including temperature, humidity, and air pressure.

These specifications directly influence the species that can thrive in that location .

The McKinsey Problem Solving Game features Mountain, Reef, and Desert terrains, and each species has required terrain specifications, typically expressed as ranges (e.g., Temperature: 20-30 C).

To construct a sustainable ecosystem, candidates must carefully consider the terrain specifications and select species that can thrive in the designated location.

Each species has specific terrain specs that have to be met.

If they aren’t met, the species won’t survive, and you won’t achieve the game’s objective .

Food Chain Management

Creating a balanced food chain is another critical aspect of the Ecosystem Building scenario.

In the game, the food chain consists of two types of species: producers and consumers.

Consumers can be classified as herbivores, carnivores, or omnivores, and each species has a few natural predators (Eaten By) and prey (Food Sources).

To ensure the sustainability of the ecosystem, it is vital to monitor the “calorie needed” and “calorie provided” specs of each species, ensuring that no species is eaten to extinction .

Calories balance

To make the ecosystem sustainable, your food chain must respect 3 rules.

To begin with, the species with the highest “calories provided” eats first. And it eats its “food source” with the highest calories provided.

Secondly, when a “food source” is eaten, its “calories provided” decrease permanently by an amount equal to the eating species’ “calories needed.”

Next, the species with the highest current “calories provided” eats.

To win the game, all the species must have their “calories needed” fully provided and “calories provided” above zero .

An example of a working food chain:

And an example of a food chain not working:

Source: PSGSecrets.com

A sample game

Now that you know the Ecosystem Management game, you can watch the following video.

In this video?

A candidate filmed his screen while taking the McKinsey Solve Game:

Mastering the Redrock Study

The RedRock Study is the latest McKinsey Problem Solving Game addition to test your decision making process.

The game’s plot is that you are sent to an island to analyze the species.

To solve this mini-game, you must go through 3 phases: investigation, analysis, and report .

Each of these phases, mimicking a consulting project, will be detailed in the next sections.

Also, after the 3 phases, you’ll have to answer 10 case questions.

Besides, like the first game (Ecosystem Management), you have 35 minutes to complete the RedRock study.

The investigation phase

In this first phase, you must read a text.

And then collect the information you might need later.

The main challenge is identifying the relevant data.

Because most of the information shown is irrelevant.

Thus, be careful not to waste too much time.

And once you’ve collected all the information, you can move to the analysis phase.

The analysis phase

Here, you’ll be asked to answer three numerical questions.

And don’t worry: a virtual calculator is embedded in the game.

But, you need to use the information gathered in phase 1 to answer these questions correctly.

And very important: write down your answers because you’ll need them in the next phase.

The report phase

Finally, you’ll have to write a summary of your analysis and present your data in charts.

The report phase has two main components:

A written part where you’ll be asked to answer 5 questions based on your analysis,

And a visual part where you’ll be asked to choose a type of graph to show the results of your analysis.

You’ll move to the case questions after completing the report phase.

The case questions

In this final phase, you must answer up to 10 case questions.

And these case questions are similar to those in the McKinsey Problem Solving Test (PST).

Thus, I recommend practicing with the old McKinsey PST practice tests (see below).

Because the goal will be to sharpen your numerical and chart interpretation skills.

Get 4 Complete Case Interview Courses For Free

You need 4 skills to be successful in all case interviews: Case Structuring, Case Leadership, Case Analytics, and Communication. Join this free training and learn how to ace ANY case questions.

Acing the Plant Defense Mini Game

Preliminary note: since March 2023, McKinsey has no longer used the Plant Defense Game.

However, I encourage you to study the following tactics if McKinsey uses this game again .

What is the Plant Defense Game?

The Plant Defense scenario is another McKinsey Problem Solving Game core component.

In this scenario, candidates must defend a base (a square on the map), represented by a native plant, from various invading species, such as rats, foxes, and other predators.

In the Plant Defense scenario, candidates must strategically place defenders and manage resources effectively to protect the base from invading species .

Defenders, such as terrain features like mountains or forests, or animal defenders like snakes or eagles, have a specified range of coverage and inflict damage on invaders that enter it.

Terrain features can also obstruct or slow down various types of invaders.

How to Win the Plant Defense Game?

You must protect the particular land as long as possible.

To do so, you must predict when and how the invaders will attack to protect the land.

Now, here are my expert tips to win the Plant Defense game.

Step 1: Understand barriers and defenders

First, select the resources you’ll use to protect the plant.

And those resources can be defenders (snakes, eagles, coyotes, etc.) or natural barriers (forests, rocks, cliffs, etc.).

Plus, each animal and barrier has specific characteristics.

Animals can kill the invaders (or damage them), while barriers can slow them down.

And each defender is effective on a certain number of squares around them.

For instance:

Eagles cover more squares but inflict less damage.

Snakes cover only one square but inflict more damage.

Step 2: Define a strategy to place resources

At the beginning of the game, you must place five barriers or defenders on the map.

Expert tip : place defenders with large areas of influence close to the plant to defend.

And use barriers to create bottlenecks to make defenders even more effective.

Step 3: Understand and analyze the invaders

The invaders appear at the edge of the map.

And their numbers increase during the game.

Check the invaders’ characteristics to identify the best barriers or defenders to use.

Step 4: Adjust the strategy

Your defense strategy can be adjusted after each invader’s move.

Remember: try to create circular defenses around the plant.

Note: all of the above screenshots are from our partner PSGSecrets.com .

Now, let’s discuss the other mini games that McKinsey used. 

Alternative Mini-Games and Their Challenges

All the candidates who recently passed the game (as of July 2023) had to deal with the Ecosystem building game and Redrock scenarios.

However, consulting is an ever-changing industry.

And so does the McKinsey Problem Solving Game!

Hence, maybe you’ll have one of the following scenarios.

Or a new one that has never been given so far.

Bottom line: be prepared for anything.

Ok, let’s discuss the alternative mini-games previous candidates had.

Disaster Management Game

The natural Disaster Management mini-game involves identifying the type of natural disaster in an ecosystem and relocating the animals from this ecosystem to maximize their survival.

Disease Management

The Disease Management mini-game requires candidates to accurately identify the disease that has infiltrated the ecosystem and implement the necessary measures to contain it.

To succeed in this mini-game, candidates must discern the disease pattern within the ecosystem and anticipate who will be exposed next.

Finally, candidates must select a treatment based on the characteristics of the disease, the animal population, and the treatment options.

Migration Management

The Migration Management mini-game involves identifying the migration patterns of the animals in the ecosystem and implementing necessary steps to ensure their safety.

This requires a deep understanding of the factors that influence animal migration.

Preparing for the McKinsey Problem Solving Game

Mckinsey solve simulation platforms.

Several simulation platforms help candidates practice the mini-games like the original McKinsey Game.

By utilizing these simulation platforms, candidates can familiarize themselves with the game’s mechanics, challenges, and time constraints.

I recommend using the simulations at PSGSecrets.com .

Francesco Rieppi, a former BCG consultant, has designed this platform and offers an incredible money-back guarantee if you don’t pass the Game.

Note for full transparency : this is an affiliate link. Hence, I’ll get a commission if you purchase Francesco’s product (but without additional costs for you).

Developing Critical Thinking for Success

This is the most important skill to develop to secure a McKinsey offer. 

Source: McKinsey and Imbellus teams .

So, what does “critical thinking” mean?

According to Wikipedia :

Critical thinking is the analysis of available facts, evidence, observations, and arguments to form a judgment by applying rational, skeptical, and unbiased analyses and evaluations.

Thus, candidates must be able to quickly assimilate and analyze large quantities of data, identify patterns and trends, and make well-informed decisions based on available information.

How can you develop your critical thinking?

In the next sections, we will discuss strategies to improve your critical thinking and how these strategies can be applied to tackle the game’s various scenarios .

Practice analyzing data with McKinsey PST questions

First, practice with the good old McKinsey PST questions

The McKinsey PST practice tests look like this.

First, you have a text to give you some context.

Secondly, you can also find exhibits to provide more information.

And finally, you have a list of questions.

And to answer those questions, you must use the information and data provided at the beginning.

Practice analyzing data with GMAT questions

Besides the McKinsey PST, you can also use GMAT questions to develop your skills.

But not any GMAT question.

The Quantitative Reasoning and Integrated Reasoning questions are great drills to prepare for the screening tests and case interviews used by top consulting firms like McKinsey.

Quantitative Reasoning

There are two questions in the Quantitative Reasoning Section: Problem-Solving: Measures your ability to use logic and analytical reasoning to solve quantitative problems.

Data Sufficiency: Measures your ability to analyze a quantitative problem, recognize the relevant data, and determine when enough data exists to solve the problem.

Both types of questions require some knowledge of arithmetic, elementary algebra, and commonly known concepts of geometry.

Rest assured that the difficulty of the questions stems from the logic and analytical skills required, not the underlying math skills.

Sample Problem-Solving Question

If u > t, r > q, s > t, and t > r, which of the following must be true?

u > s s > q u > r (A) I only

(B) II only

(C) III only

(D) I and II

(E) II and III

Answer: (E)

Sample Data Sufficiency Question

If a real estate agent received a commission of 6 percent of the selling price of a certain house, what was the house’s selling price?

(1) The selling price minus the real estate agent’s commission was $84,600.

(2) The selling price was 250 percent of the original purchase price of $36,000.

(A) Statement (1) ALONE is sufficient, but statement (2) alone is not sufficient.

(B) Statement (2) ALONE is sufficient, but statement (1) alone is not sufficient.

(C) BOTH statements TOGETHER are sufficient, but NEITHER statement ALONE is sufficient.

(D) EACH statement ALONE is sufficient.

(E) Statements (1) and (2) TOGETHER are NOT sufficient.

Answer: (D)

Integrated Reasoning

There are four types of questions in the Integrated Reasoning Section:

Multi-Source Reasoning: Measures your ability to examine data from multiple sources text passages, tables, graphics, or some combination of the three—and to analyze each source of data to answer multiple questions carefully.

Table Analysis: Measures your ability to sort and analyze a data table, like a spreadsheet, to determine what information is relevant or meets certain conditions.

Graphics Interpretation: Measures your ability to interpret the information presented in a graph or other graphical image (scatter plot, x/y graph, bar chart, pie chart, or statistical curve distribution) to discern relationships and make inferences.

and Two-Part Analysis: Measures your ability to solve complex problems. They could be quantitative, verbal, or some combination of both. The format is intentionally versatile to cover a wide range of content. Your ability to evaluate trade-offs, solve simultaneous equations, and discern relationships between two entities is measured.

The questions involve quantitative and verbal reasoning, separately or in combination.

Sample GMAT Integrated Reasoning question:

Source: https://studyabroad.shiksha.com/gmat-sample-questions-integrated-reasoning-section-articlepage-1659

And here is the best part:

You can easily find online many GMAT simulation platforms with free trial periods.

Hence, you’ll be able to practice with time constraints.

And better feel the pressure of the clock ticking in a test 😅

Mental calculations

Most questions on the Redrock involve math, particularly percentages.

Therefore, it is wise to practice calculations involving percentages before the game.

What’s 80% of 8,200?

How much sales (today: $82m) should increase to reach $140m?

Like the GMAT, these questions are not too difficult.

But the limited time (and the pressure) makes it challenging.

Hypothesis Formation

Forming hypotheses based on available information is another essential McKinsey Problem Solving Game skill.

Hypothesis formation is the process of devising a predictive statement or tentative explanation about a phenomenon or problem based on limited evidence or prior knowledge.

To form hypotheses effectively, it is necessary to consider the context of the problem, analyze the available data, and evaluate the potential implications of the hypothesis .

Additionally, it is important to consider the potential for bias in the data and contemplate alternative hypotheses.

As new data is presented during the game, candidates must be able to adjust their hypotheses accordingly.

This may include revising the hypothesis, discarding it, or forming a new hypothesis.

Being flexible and adaptable in the face of new information is crucial for success in the McKinsey Problem Solving Game, as it allows candidates to respond effectively to changing circumstances and make the best decisions based on the most up-to-date information.

Gaming for Success

Some applicants said the McKinsey Digital Assessment could be overwhelming if you aren’t accustomed to playing computer games.

The learning curve for the PSG is shortened for players who play frequently, particularly those who enjoy strategy games.

They are quicker to figure out what to do next and when to do it because they are usually more familiar with game environments.

However, some video game genres will be more helpful in preparing for the McKinsey Problem Solving Game.

The gameplay in the following video games is somewhat reminiscent of that in the McKinsey PSG :

• Zoo Tycoon – similar to Ecosystem creation
• Planet Zoo – similar to Ecosystem creation
• Kingdom Rush – similar to Plant Defense
• Roller Coaster Tycoon – similar to Ecosystem creation
• Planet Coaster – similar to Ecosystem creation
• Plants VS Zombies – similar to Plant Defense

As you can see, there is a lot of mini games you can use to practice.

Besides, if you know any, you can play a traditional board game, especially strategy games.

Frequently asked questions (and final tips)

How hard is it to pass the mckinsey problem solving game.

The McKinsey Problem Solving Game can be challenging due to its difficult passing rate.

Estimates suggest that only 20-30% of test candidates are successful.

Does everyone get invited to the McKinsey problem solving game?

As of 2023, all the candidates who passed the resume screening were asked to take the Problem Solving Game.

And the game is used by all McKinsey divisions (Digital and Operations) in their hiring processes.

Will I receive a score for my performance after the McKinsey Online Assessment?

Usually, you don’t receive a score but a confirmation of whether you passed the game.

What is the purpose of the McKinsey Problem Solving Game?

The McKinsey Problem Solving Game tests a candidate’s ability to think critically and solve complex problems.

And this game is an important part of the McKinsey recruitment process.

It happens before PEI and case interviews.

So McKinsey can identify the best possible candidates for their consulting roles.

What are the differences between the McKinsey PSG and McKinsey PST?

The McKinsey PST (Problem Solving Test) was a traditional standardized admission test.

These traditional assessments focus on content mastery, processing speed, and memory. These factors ignore the increasing need to develop and measure capabilities required by the 21st-century workforce. These tests ignore the cognitive process that users engage in during that task.

Source: Imbellus and McKinsey teams

Thus, unlike the PST, the game doesn’t require business knowledge.

Besides, the McKinsey Problem Solving Game score is based on the final results and the steps to reach the results.

Imbellus assessments focus on evaluating how people think instead of what they know. Through the scenarios in our simulation-based environments, we observe details of users’ cognitive processes, not just their end choices.

How long is the McKinsey Problem Solving Game?

The total time is between 60 and 75 minutes.

And time management is a critical success factor to pass this test.

What is the usual response time from HR?

Normally candidates receive an answer within two weeks after they’ve completed the test.

Will I have to take the test from home?

Yes. McKinsey will send you a link to take the test.

Also, they will provide you with another link to check if the technical characteristics of your laptop are enough to play the McKinsey Problem Solving Game.

Can I pause the game once it has started?

No. You must go through all the mini games at one time once you have started.

Any last advice?

Before you start the Game, make sure you are in a silent room (mute your phone) and check your internet connection.

The best way to practice is to simulate the actual games themselves. PSG Secrets offers a realistic simulation of the McKinsey Solve  that you can play through.

Besides, prepare pens, papers, and the templates provided in the psgsecrets platform.

I hope you enjoyed this guide about the McKinsey digital assessment.

And that you feel more confident of winning the McKinsey Problem Solving Game.

The best way to practice this is by playing through a realistic simulation of the McKinsey Solve .

Now, I’d like to hear from you:

Which scenario is the most challenging, in your opinion?

Will you play more video games to prepare for this test?

Let me know by leaving a quick comment below right now.

Related articles :

How to answer the question “Why consulting” and “Why McKinsey? Why BCG? Why Bain & Company?” .

Also: read this article to write a compelling and personalized cover letter.

Leave a Comment Cancel Reply

Your email address will not be published. Required fields are marked *

You need 4 skills to be successful in all case interviews: Case Structuring, Case Leadership, Case Analytics, and Communication. Enroll in our 4 free courses and discover the proven systems +300 candidates used to learn these 4 skills and land offers in consulting.

• SUGGESTED TOPICS
• The Magazine
• Newsletters
• Managing Yourself
• Managing Teams
• Work-life Balance
• The Big Idea
• Data & Visuals
• Reading Lists
• Case Selections
• HBR Learning
• Topic Feeds
• Account Settings
• Email Preferences

Share Podcast

A Better Framework for Solving Tough Problems

Start with trust and end with speed.

• Apple Podcasts

When it comes to solving complicated problems, the default for many organizational leaders is to take their time to work through the issues at hand. Unfortunately, that often leads to patchwork solutions or problems not truly getting resolved.

But Anne Morriss offers a different framework. In this episode, she outlines a five-step process for solving any problem and explains why starting with trust and ending with speed is so important for effective change leadership. As she says, “Let’s get into dialogue with the people who are also impacted by the problem before we start running down the path of solving it.”

Morriss is an entrepreneur and leadership coach. She’s also the coauthor of the book, Move Fast and Fix Things: The Trusted Leader’s Guide to Solving Hard Problems .

Key episode topics include: strategy, decision making and problem solving, strategy execution, managing people, collaboration and teams, trustworthiness, organizational culture, change leadership, problem solving, leadership.

HBR On Strategy curates the best case studies and conversations with the world’s top business and management experts, to help you unlock new ways of doing business. New episodes every week.

• Listen to the full HBR IdeaCast episode: How to Solve Tough Problems Better and Faster (2023)
• Find more episodes of HBR IdeaCast
• Discover 100 years of Harvard Business Review articles, case studies, podcasts, and more at HBR.org .

HANNAH BATES: Welcome to HBR On Strategy , case studies and conversations with the world’s top business and management experts, hand-selected to help you unlock new ways of doing business.

When it comes to solving complicated problems, many leaders only focus on the most apparent issues. Unfortunately that often leads to patchwork or partial solutions. But Anne Morriss offers a different framework that aims to truly tackle big problems by first leaning into trust and then focusing on speed.

Morriss is an entrepreneur and leadership coach. She’s also the co-author of the book, Move Fast and Fix Things: The Trusted Leader’s Guide to Solving Hard Problems . In this episode, she outlines a five-step process for solving any problem. Some, she says, can be solved in a week, while others take much longer. She also explains why starting with trust and ending with speed is so important for effective change leadership.

This episode originally aired on HBR IdeaCast in October 2023. Here it is.

CURT NICKISCH: Welcome to the HBR IdeaCast from Harvard Business Review. I’m Curt Nickisch.

Problems can be intimidating. Sure, some problems are fun to dig into. You roll up your sleeves, you just take care of them; but others, well, they’re complicated. Sometimes it’s hard to wrap your brain around a problem, much less fix it.

And that’s especially true for leaders in organizations where problems are often layered and complex. They sometimes demand technical, financial, or interpersonal knowledge to fix. And whether it’s avoidance on the leaders’ part or just the perception that a problem is systemic or even intractable, problems find a way to endure, to keep going, to keep being a problem that everyone tries to work around or just puts up with.

But today’s guest says that just compounds it and makes the problem harder to fix. Instead, she says, speed and momentum are key to overcoming a problem.

Anne Morriss is an entrepreneur, leadership coach and founder of the Leadership Consortium and with Harvard Business School Professor Francis Frei, she wrote the new book, Move Fast and Fix Things: The Trusted Leaders Guide to Solving Hard Problems . Anne, welcome back to the show.

ANNE MORRISS: Curt, thank you so much for having me.

CURT NICKISCH: So, to generate momentum at an organization, you say that you really need speed and trust. We’ll get into those essential ingredients some more, but why are those two essential?

ANNE MORRISS: Yeah. Well, the essential pattern that we observed was that the most effective change leaders out there were building trust and speed, and it didn’t seem to be a well-known observation. We all know the phrase, “Move fast and break things,” but the people who were really getting it right were moving fast and fixing things, and that was really our jumping off point. So when we dug into the pattern, what we observed was they were building trust first and then speed. This foundation of trust was what allowed them to fix more things and break fewer.

CURT NICKISCH: Trust sounds like a slow thing, right? If you talk about building trust, that is something that takes interactions, it takes communication, it takes experiences. Does that run counter to the speed idea?

ANNE MORRISS: Yeah. Well, this issue of trust is something we’ve been looking at for over a decade. One of the headlines in our research is it’s actually something we’re building and rebuilding and breaking all the time. And so instead of being this precious, almost farbege egg, it’s this thing that is constantly in motion and this thing that we can really impact when we’re deliberate about our choices and have some self-awareness around where it’s breaking down and how it’s breaking down.

CURT NICKISCH: You said break trust in there, which is intriguing, right? That you may have to break trust to build trust. Can you explain that a little?

ANNE MORRISS:  Yeah, well, I’ll clarify. It’s not that you have to break it in order to build it. It’s just that we all do it some of the time. Most of us are trusted most of the time. Most of your listeners I imagine are trusted most of the time, but all of us have a pattern where we break trust or where we don’t build as much as could be possible.

CURT NICKISCH: I want to talk about speed, this other essential ingredient that’s so intriguing, right? Because you think about solving hard problems as something that just takes a lot of time and thinking and coordination and planning and designing. Explain what you mean by it? And also, just  how we maybe approach problems wrong by taking them on too slowly?

ANNE MORRISS: Well, Curt, no one has ever said to us, “I wish I had taken longer and done less.” We hear the opposite all the time, by the way. So what we really set out to do was to create a playbook that anyone can use to take less time to do more of the things that are going to make your teams and organizations stronger.

And the way we set up the book is okay, it’s really a five step process. Speed is the last step. It’s the payoff for the hard work you’re going to do to figure out your problem, build or rebuild trust, expand the team in thoughtful and strategic ways, and then tell a real and compelling story about the change you’re leading.

Only then do you get to go fast, but that’s an essential part of the process, and we find that either people under emphasize it or speed has gotten a bad name in this world of moving fast and breaking things. And part of our mission for sure was to rehabilitate speed’s reputation because it is an essential part of the change leader’s equation. It can be the difference between good intentions and getting anything done at all.

CURT NICKISCH: You know, the fact that nobody ever tells you, “I wish we had done less and taken more time.” I think we all feel that, right? Sometimes we do something and then realize, “Oh, that wasn’t that hard and why did it take me so long to do it? And I wish I’d done this a long time ago.” Is it ever possible to solve a problem too quickly?

ANNE MORRISS: Absolutely. And we see that all the time too. What we push people to do in those scenarios is really take a look at the underlying issue because in most cases, the solution is not to take your foot off the accelerator per se and slow down. The solution is to get into the underlying problem. So if it’s burnout or a strategic disconnect between what you’re building and the marketplace you’re serving, what we find is the anxiety that people attach to speed or the frustration people attach to speed is often misplaced.

CURT NICKISCH: What is a good timeline to think about solving a problem then? Because if we by default take too long or else jump ahead and we don’t fix it right, what’s a good target time to have in your mind for how long solving a problem should take?

ANNE MORRISS: Yeah. Well, we’re playful in the book and talking about the idea that many problems can be solved in a week. We set the book up five chapters. They’re titled Monday, Tuesday, Wednesday, Thursday, Friday, and we’re definitely having fun with that. And yet, if you count the hours in a week, there are a lot of them. Many of our problems, if you were to spend a focused 40 hours of effort on a problem, you’re going to get pretty far.

But our main message is, listen, of course it’s going to depend on the nature of the problem, and you’re going to take weeks and maybe even some cases months to get to the other side. What we don’t want you to do is take years, which tends to be our default timeline for solving hard problems.

CURT NICKISCH: So you say to start with identifying the problem that’s holding you back, seems kind of obvious. But where do companies go right and wrong with this first step of just identifying the problem that’s holding you back?

ANNE MORRISS: And our goal is that all of these are going to feel obvious in retrospect. The problem is we skip over a lot of these steps and this is why we wanted to underline them. So this one is really rooted in our observation and I think the pattern of our species that we tend to be overconfident in the quality of our thoughts, particularly when it comes to diagnosing problems.

And so we want to invite you to start in a very humble and curious place, which tends not to be our default mode when we’re showing up for work. We convince ourselves that we’re being paid for our judgment. That’s exactly what gets reinforced everywhere. And so we tend to counterintuitively, given what we just talked about, we tend to move too quickly through the diagnostic phase.

CURT NICKISCH: “I know what to do, that’s why you hired me.”

ANNE MORRISS: Exactly. “I know what to do. That’s why you hired me. I’ve seen this before. I have a plan. Follow me.” We get rewarded for the expression of confidence and clarity. And so what we’re inviting people to do here is actually pause and really lean into what are the root causes of the problem you’re seeing? What are some alternative explanations? Let’s get into dialogue with the people who are also impacted by the problem before we start running down the path of solving it.

CURT NICKISCH: So what do you recommend for this step, for getting to the root of the problem? What are questions you should ask? What’s the right thought process? What do you do on Monday of the week?

ANNE MORRISS: In our experience of doing this work, people tend to undervalue the power of conversation, particularly with other people in the organization. So we will often advocate putting together a team of problem solvers, make it a temporary team, really pull in people who have a particular perspective on the problem and create the space, make it as psychologically safe as you can for people to really, as Chris Argyris so beautifully articulated, discuss the undiscussable.

And so the conditions for that are going to look different in every organization depending on the problem, but if you can get a space where smart people who have direct experience of a problem are in a room and talking honestly with each other, you can make an extraordinary amount of progress, certainly in a day.

CURT NICKISCH: Yeah, that gets back to the trust piece.

ANNE MORRISS: Definitely.

CURT NICKISCH: How do you like to start that meeting, or how do you like to talk about it? I’m just curious what somebody on that team might hear in that meeting, just to get the sense that it’s psychologically safe, you can discuss the undiscussable and you’re also focusing on the identification part. What’s key to communicate there?

ANNE MORRISS: Yeah. Well, we sometimes encourage people to do a little bit of data gathering before those conversations. So the power of a quick anonymous survey around whatever problem you’re solving, but also be really thoughtful about the questions you’re going to ask in the moment. So a little bit of preparation can go a long way and a little bit of thoughtfulness about the power dynamic. So who’s going to walk in there with license to speak and who’s going to hold back? So being thoughtful about the agenda, about the questions you’re asking about the room, about the facilitation, and then courage is a very infectious emotion.

So if you can early on create the conditions for people to show up bravely in that conversation, then the chance that you’re going to get good information and that you’re going to walk out of that room with new insight in the problem that you didn’t have when you walked in is extraordinarily high.

CURT NICKISCH: Now, in those discussions, you may have people who have different perspectives on what the problem really is. They also bear different costs of addressing the problem or solving it. You talked about the power dynamic, but there’s also an unfairness dynamic of who’s going to actually have to do the work to take care of it, and I wonder how you create a culture in that meeting where it’s the most productive?

ANNE MORRISS: For sure, the burden of work is not going to be equitably distributed around the room. But I would say, Curt, the dynamic that we see most often is that people are deeply relieved that hard problems are being addressed. So it really can create, and more often than not in our experience, it does create this beautiful flywheel of action, creativity, optimism. Often when problems haven’t been addressed, there is a fair amount of anxiety in the organization, frustration, stagnation. And so credible movement towards action and progress is often the best antidote. So even if the plan isn’t super clear yet, if it’s credible, given who’s in the room and their decision rights and mandate, if there’s real momentum coming out of that to make progress, then that tends to be deeply energizing to people.

CURT NICKISCH: I wonder if there’s an organization that you’ve worked with that you could talk about how this rolled out and how this took shape?

ANNE MORRISS: When we started working with Uber, that was wrestling with some very public issues of culture and trust with a range of stakeholders internally, the organization, also external, that work really started with a campaign of listening and really trying to understand where trust was breaking down from the perspective of these stakeholders?

So whether it was female employees or regulators or riders who had safety concerns getting into the car with a stranger. This work, it starts with an honest internal dialogue, but often the problem has threads that go external. And so bringing that same commitment to curiosity and humility and dialogue to anyone who’s impacted by the problem is the fastest way to surface what’s really going on.

CURT NICKISCH: There’s a step in this process that you lay out and that’s communicating powerfully as a leader. So we’ve heard about listening and trust building, but now you’re talking about powerful communication. How do you do this and why is it maybe this step in the process rather than the first thing you do or the last thing you do?

ANNE MORRISS: So in our process, again, it’s the days of the week. On Monday you figured out the problem. Tuesday you really got into the sandbox in figuring out what a good enough plan is for building trust. Wednesday, step three, you made it better. You created an even better plan, bringing in new perspectives. Thursday, this fourth step is the day we’re saying you got to go get buy-in. You got to bring other people along. And again, this is a step where we see people often underinvest in the power and payoff of really executing it well.

CURT NICKISCH: How does that go wrong?

ANNE MORRISS: Yeah, people don’t know the why. Human behavior and the change in human behavior really depends on a strong why. It’s not just a selfish, “What’s in it for me?” Although that’s helpful, but where are we going? I may be invested in a status quo and I need to understand, okay, if you’re going to ask me to change, if you’re going to invite me into this uncomfortable place of doing things differently, why am I here? Help me understand it and articulate the way forward and language that not only I can understand, but also that’s going to be motivating to me.

CURT NICKISCH: And who on my team was part of this process and all that kind of stuff?

ANNE MORRISS: Oh, yeah. I may have some really important questions that may be in the way of my buy-in and commitment to this plan. So certainly creating a space where those questions can be addressed is essential. But what we found is that there is an architecture of a great change story, and it starts with honoring the past, honoring the starting place. Sometimes we’re so excited about the change and animated about the change that what has happened before or what is even happening in the present tense is low on our list of priorities.

Or we want to label it bad, because that’s the way we’ve thought about the change, but really pausing and honoring what came before you and all the reasonable decisions that led up to it, I think can be really helpful to getting people emotionally where you want them to be willing to be guided by you. Going back to Uber, when Dara Khosrowshahi came in.

CURT NICKISCH: This is the new CEO.

ANNE MORRISS: The new CEO.

CURT NICKISCH: Replaced Travis Kalanick, the founder and first CEO, yeah.

ANNE MORRISS: Yeah, and had his first all-hands meeting. One of his key messages, and this is a quote, was that he was going to retain the edge that had made Uber, “A force of nature.” And in that meeting, the crowd went wild because this is also a company that had been beaten up publicly for months and months and months, and it was a really powerful choice. And his predecessor, Travis was in the room, and he also honored Travis’ incredible work and investment in bringing the company to the place where it was.

And I would use words like grace to also describe those choices, but there’s also an incredible strategic value to naming the starting place for everybody in the room because in most cases, most people in that room played a role in getting to that starting place, and you’re acknowledging that.

CURT NICKISCH: You can call it grace. Somebody else might call it diplomatic or strategic. But yeah, I guess like it or not, it’s helpful to call out and honor the complexity of the way things have been done and also the change that’s happening.

ANNE MORRISS: Yeah, and the value. Sometimes honoring the past is also owning what didn’t work or what wasn’t working for stakeholders or segments of the employee team, and we see that around culture change. Sometimes you’ve got to acknowledge that it was not an equitable environment, but whatever the worker, everyone in that room is bringing that pass with them. So again, making it discussable and using it as the jumping off place is where we advise people to start.

Then you’ve earned the right to talk about the change mandate, which we suggest using clear and compelling language about the why. “This is what happened, this is where we are, this is the good and the bad of it, and here’s the case for change.”

And then the last part, which is to describe a rigorous and optimistic way forward. It’s a simple past, present, future arc, which will be familiar to human beings. We love stories as human beings. It’s among the most powerful currency we have to make sense of the world.

CURT NICKISCH: Yeah. Chronological is a pretty powerful order.

ANNE MORRISS: Right. But again, the change leaders we see really get it right, are investing an incredible amount of time into the storytelling part of their job. Ursula Burns, the Head of Xerox is famous for the months and years she spent on the road just telling the story of Xerox’s change, its pivot into services to everyone who would listen, and that was a huge part of her success.

CURT NICKISCH: So Friday or your fifth step, you end with empowering teams and removing roadblocks. That seems obvious, but it’s critical. Can you dig into that a little bit?

ANNE MORRISS: Yeah. Friday is the fun day. Friday’s the release of energy into the system. Again, you’ve now earned the right to go fast. You have a plan, you’re pretty confident it’s going to work. You’ve told the story of change the organization, and now you get to sprint. So this is about really executing with urgency, and it’s about a lot of the tactics of speed is where we focus in the book. So the tactics of empowerment, making tough strategic trade-offs so that your priorities are clear and clearly communicated, creating mechanisms to fast-track progress. At Etsy, CEO Josh Silverman, he labeled these projects ambulances. It’s an unfortunate metaphor, but it’s super memorable. These are the products that get to speed out in front of the other ones because the stakes are high and the clock is sticking.

CURT NICKISCH: You pull over and let it go by.

ANNE MORRISS: Yeah, exactly. And so we have to agree as an organization on how to do something like that. And so we see lots of great examples both in young organizations and big complex biotech companies with lots of regulatory guardrails have still found ways to do this gracefully.

And I think we end with this idea of conflict debt, which is a term we really love. Leanne Davey, who’s a team scholar and researcher, and anyone in a tech company will recognize the idea of tech debt, which is this weight the organization drags around until they resolve it. Conflict debt is a beautiful metaphor because it is this weight that we drag around and slows us down until we decide to clean it up and fix it. The organizations that are really getting speed right have figured out either formally or informally, how to create an environment where conflict and disagreements can be gracefully resolved.

CURT NICKISCH: Well, let’s talk about this speed more, right? Because I think this is one of those places that maybe people go wrong or take too long, and then you lose the awareness of the problem, you lose that urgency. And then that also just makes it less effective, right? It’s not just about getting the problem solved as quickly as possible. It’s also just speed in some ways helps solve the problem.

ANNE MORRISS: Oh, yeah. It really is the difference between imagining the change you want to lead and really being able to bring it to life. Speed is the thing that unlocks your ability to lead change. It needs a foundation, and that’s what Monday through Thursday is all about, steps one through four, but the finish line is executing with urgency, and it’s that urgency that releases the system’s energy, that communicates your priorities, that creates the conditions for your team to make progress.

CURT NICKISCH: Moving fast is something that entrepreneurs and tech companies certainly understand, but there’s also this awareness that with big companies, the bigger the organization, the harder it is to turn the aircraft carrier around, right? Is speed relative when you get at those levels, or do you think this is something that any company should be able to apply equally?

ANNE MORRISS: We think this applies to any company. The culture really lives at the level of team. So we believe you can make a tremendous amount of progress even within your circle of control as a team leader. I want to bring some humility to this and careful of words like universal, but we do think there’s some universal truths here around the value of speed, and then some of the byproducts like keeping fantastic people. Your best people want to solve problems, they want to execute, they want to make progress and speed, and the ability to do that is going to be a variable in their own equation of whether they stay or they go somewhere else where they can have an impact.

CURT NICKISCH: Right. They want to accomplish something before they go or before they retire or finish something out. And if you’re able to just bring more things on the horizon and have it not feel like it’s going to be another two years to do something meaningful.

ANNE MORRISS: People – I mean, they want to make stuff happen and they want to be around the energy and the vitality of making things happen, which again, is also a super infectious phenomenon. One of the most important jobs of a leader, we believe, is to set the metabolic pace of their teams and organizations. And so what we really dig into on Friday is, well, what does that look like to speed something up? What are the tactics of that?

CURT NICKISCH: I wonder if that universal truth, that a body in motion stays in motion applies to organizations, right? If an organization in motion stays in motion, there is something to that.

ANNE MORRISS: Absolutely.

CURT NICKISCH: Do you have a favorite client story to share, just where you saw speed just become a bit of a flywheel or just a positive reinforcement loop for more positive change at the organization?

ANNE MORRISS: Yeah. We work with a fair number of organizations that are on fire. We do a fair amount of firefighting, but we also less dramatically do a lot of fire prevention. So we’re brought into organizations that are working well and want to get better, looking out on the horizon. That work is super gratifying, and there is always a component of, well, how do we speed this up?

What I love about that work is there’s often already a high foundation of trust, and so it’s, well, how do we maintain that foundation but move this flywheel, as you said, even faster? And it’s really energizing because often there’s a lot of pent-up energy that… There’s a lot of loyalty to the organization, but often it’s also frustration and pent-up energy. And so when that gets released, when good people get the opportunity to sprint for the first time in a little while, it’s incredibly energizing, not just for us, but for the whole organization.

CURT NICKISCH: Anne, this is great. I think finding a way to solve problems better but also faster is going to be really helpful. So thanks for coming on the show to talk about it.

ANNE MORRISS:  Oh, Curt, it was such a pleasure. This is my favorite conversation. I’m delighted to have it anytime.

HANNAH BATES: That was entrepreneur, leadership coach, and author Anne Morriss – in conversation with Curt Nickisch on HBR IdeaCast.

We’ll be back next Wednesday with another hand-picked conversation about business strategy from Harvard Business Review. If you found this episode helpful, share it with your friends and colleagues, and follow our show on Apple Podcasts, Spotify, or wherever you get your podcasts. While you’re there, be sure to leave us a review.

When you’re ready for more podcasts, articles, case studies, books, and videos with the world’s top business and management experts, you’ll find it all at HBR.org.

This episode was produced by Mary Dooe, Anne Saini, and me, Hannah Bates. Ian Fox is our editor. Special thanks to Rob Eckhardt, Maureen Hoch, Erica Truxler, Ramsey Khabbaz, Nicole Smith, Anne Bartholomew, and you – our listener. See you next week.

• Subscribe On:

Latest in this series

This article is about strategy.

• Decision making and problem solving
• Strategy execution
• Leadership and managing people
• Collaboration and teams
• Trustworthiness
• Organizational culture

Partner Center

• Skip to main content
• Skip to secondary menu
• Skip to primary sidebar
• Skip to footer

North Shore news powered by The Daily Item

Fake scientific studies are a problem that’s getting harder to solve

May 29, 2024 by Guest Commentary

Faking it until you make it may be a common practice in some careers. But it’s clearly unethical for scientists and medical researchers. All the same thousands of fake papers are churned out by so-called paper mills and published every year, many of them in peer-reviewed journals.

The issue made headlines recently when Wiley, a respected publishing house, announced it would be dropping 19 of its journals associated with a publisher it had acquired, called Hindawi, in part because they were infested with fake papers. But the problem was known before: The fraud-sleuthing blog For Better Science called attention to the “fraud-positive” attitude at Wiley back in 2022. (And I covered the problem of fake research on my Follow the Science podcast back in 2021.)

These aren’t just papers with fudged data — in many cases, all the data and the text have been invented from whole cloth, generated with artificial intelligence, or plagiarized. They’re fake all the way through. The creators of these fake papers have been dubbed paper mills, and they operate by reaching out to scientists and offering to write papers with the scientists’ names at the top — for a price. 

Paper mills have proliferated because of a pathology that’s afflicted many areas of science. Scientists are rewarded for the quantity of their research more than its quality. And peer review is non-functional at many journals.

In that disturbed ecosystem, parasitic companies flourish by helping scientists cheat to bolster their resumes, snag competitive academic jobs, and impress funding agencies. Ultimately, that causes some precious resources to get routed to cheaters and away from more worthy scientists.

Worse still, some of the fake results can seep into other articles, contaminating the state of medical knowledge, said David Sanders, a biologist at Purdue University who has been tracking scientific misconduct and the paper mill problem. For enough money, the paper mills can make a fake paper look more influential by creating other fake papers that cite it, he said. The paper mill studies can even get cited in seemingly legitimate review papers if the review authors — who are also trying for volume — don’t pay sufficient attention to what they’re reviewing. 

Some paper mill papers show obvious flaws, including patently plagiarized graphs, images and text. Some are translated from English to another language and back — and that can lead to bizarre wordings, such as “lactose intolerance” becoming “lactose bigotry,” said Sanders. Still others show absurdities like an experiment in which half a sample of ovarian cancer patients was male. 

Now, with the help of ChatGPT, paper mills can create much more coherent, plausible papers cheaply and effortlessly. Scientific fields beset by fake papers might do better to address the roots of the problem rather than trying to chase them down. 

Ivan Oransky, co-founder of the blog Retraction Watch, has been tracking problematic research for years. He said that paper mill output has been estimated to make up about 2% of papers. That might not sound big, but somewhere between 2 million and 6 million scientific papers are published every year, so 2% adds up to a lot. 

Some journals are more than 50%-generated by paper mills, said Sanders. The way he described it, the paper mills find a susceptible journal and then “they completely parasitize it.” 

He said he blames not just shoddy peer reviews, but a perverse system of evaluating scientific merit. “Hiring committees or grant committees don’t have the wherewithal to make an actual evaluation,” Sanders said. So scientists get rewarded based on the number of publications they author and the number of other publications that cite these.

Even many legitimate journal articles don’t advance the state of knowledge, he said, at least in the biomedical arena. Researchers might have gathered a bit of additional data for an ongoing project, which should be deposited into a data bank rather than turned into an unnecessary paper. “I would say the majority of articles that are published now make no contribution beyond the data they present,” he said. “They are not worth reading.”

The whole incentive system is warped, he said, and people are so dependent on grants for their survival that they’ll “do whatever is necessary.” 

The fake papers often use a pre-existing template, he said, filling in words and data like a game of Mad Libs. Paper mill creations are more pervasive in fields where papers tend to be formulaic, like nanotechnology, computer science, and an area of cancer research called microRNAs.

But some fault also lies with other scientists who cite these fake papers in review articles — which are proliferating at a rate far beyond what’s beneficial to science or society. Even when initial papers get retracted, their impact remains in the form of citations and mentions in review papers. 

Eventually, the bad papers can contaminate standards of medical care, said Sanders. Some people are developing cancer diagnostics based on fake papers. He’s seen a paper mill product referenced in a thesis defense. He’s even heard from cancer patients citing a fake paper to inquire about alternative therapies.

Funding agents could help by refusing to fund work that goes into badly reviewed journals laden with fake findings. They could keep a list of approved journals that do rigorous peer review and only fund work aimed at getting published in those. Sanders said more funding should also go into fraud detection in science.

People don’t need millions of scientific papers, most of them doing little to advance our knowledge. We need more scientists to put their energy into quality control or slow, careful research. Science is a competitive field and those who make it shouldn’t be fakers.

F.D. Flam is a Bloomberg Opinion columnist covering science. She is host of the “Follow the Science” podcast.

Related posts:

No related posts.

• Editorial Practices
• Advertising and Sponsored Content

Reader Services

• Manage Your Subscription
• Activate Subscriber Account
• Submit an Obituary
• Submit a Classified Ad
• Daily Item Photo Store
• Submit A Tip
• Terms and Conditions

Essex Media Group Publications

• Lynnfield Weekly News
• Marblehead Weekly News
• Peabody Weekly News
• 01907 The Magazine
• 01940 The Magazine
• 01945 The Magazine
• North Shore Golf Magazine

Trust in AI is more than a moral problem

• Share on Facebook
• Share on LinkedIn

Time's almost up! There's only one week left to request an invite to The AI Impact Tour on June 5th. Don't miss out on this incredible opportunity to explore various methods for auditing AI models. Find out how you can attend here .

The economic potential of AI is uncontested, but it is largely unrealized by organizations, with an astounding 87% of AI projects failing to succeed.

Some consider this a technology problem, others a business problem, a culture problem or an industry problem — but the latest evidence reveals that it is a trust problem.

According to recent research, nearly two-thirds of C-suite executives say that trust in AI drives revenue, competitiveness and customer success.

Trust has been a complicated word to unpack when it comes to AI. Can you trust an AI system ? If so, how? We don’t trust humans immediately, and we’re even less likely to trust AI systems immediately.

June 5th: The AI Audit in NYC

Join us next week in NYC to engage with top executive leaders, delving into strategies for auditing AI models to ensure fairness, optimal performance, and ethical compliance across diverse organizations. Secure your attendance for this exclusive invite-only event.

But a lack of trust in AI is holding back economic potential, and many of the recommendations for building trust in AI systems have been criticized as too abstract or far-reaching to be practical.

It’s time for a new “AI Trust Equation” focused on practical application.

The AI trust equation

The Trust Equation, a concept for building trust between people, was first proposed in The Trusted Advisor by David Maister, Charles Green and Robert Galford. The equation is Trust = Credibility + Reliability + Intimacy, divided by Self-Orientation.

It is clear at first glance why this is an ideal equation for building trust between humans, but it does not translate to building trust between humans and machines.

For building trust between humans and machines , the new AI Trust Equation is Trust = Security + Ethics + Accuracy, divided by Control.

Security forms the first step in the path to trust, and it is made up of several key tenets that are well outlined elsewhere. For the exercise of building trust between humans and machines, it comes down to the question: “Will my information be secure if I share it with this AI system?”

Ethics is more complicated than security because it is a moral question rather than a technical question. Before investing in an AI system, leaders need to consider:

• How were people treated in the making of this model, such as the Kenyan workers in the making of ChatGPT? Is that something I/we feel comfortable with supporting by building our solutions with it?
• Is the model explainable? If it produces a harmful output, can I understand why? And is there anything I can do about it (see Control)?
• Are there implicit or explicit biases in the model? This is a thoroughly documented problem, such as the Gender Shades research from Joy Buolamwini and Timnit Gebru and Google’s recent attempt to eliminate bias in their models, which resulted in creating ahistorical biases .
• What is the business model for this AI system? Are those whose information and life’s work have trained the model being compensated when the model built on their work generates revenue?
• What are the stated values of the company that created this AI system, and how well do the actions of the company and its leadership track to those values? OpenAI’s recent choice to imitate Scarlett Johansson’s voice without her consent, for example, shows a significant divide between the stated values of OpenAI and Altman’s decision to ignore Scarlett Johansson’s choice to decline the use of her voice for ChatGPT.

Accuracy can be defined as how reliably the AI system provides an accurate answer to a range of questions across the flow of work. This can be simplified to: “When I ask this AI a question based on my context, how useful is its answer?” The answer is directly intertwined with 1) the sophistication of the model and 2) the data on which it’s been trained.

Control is at the heart of the conversation about trusting AI, and it ranges from the most tactical question: “Will this AI system do what I want it to do, or will it make a mistake?” to the one of the most pressing questions of our time: “Will we ever lose control over intelligent systems?” In both cases, the ability to control the actions, decisions and output of AI systems underpins the notion of trusting and implementing them.

5 steps to using the AI trust equation

•  Determine whether the system is useful: Before investing time and resources in investigating whether an AI platform is trustworthy, organizations would benefit from determining whether a platform is useful in helping them create more value.
• Investigate if the platform is secure: What happens to your data if you load it into the platform? Does any information leave your firewall? Working closely with your security team or hiring security advisors is critical to ensuring you can rely on the security of an AI system.
• Set your ethical threshold and evaluate all systems and organizations against it: If any models you invest in must be explainable, define, to absolute precision, a common, empirical definition of explainability across your organization, with upper and lower tolerable limits, and measure proposed systems against those limits. Do the same for every ethical principle your organization determines is non-negotiable when it comes to leveraging AI.
• Define your accuracy targets and don’t deviate: It can be tempting to adopt a system that doesn’t perform well because it’s a precursor to human work. But if it’s performing below an accuracy target you’ve defined as acceptable for your organization, you run the risk of low quality work output and a greater load on your people. More often than not, low accuracy is a model problem or a data problem, both of which can be addressed with the right level of investment and focus.
• Decide what degree of control your organization needs and how it’s defined: How much control you want decision-makers and operators to have over AI systems will determine whether you want a fully autonomous system, semi-autonomous, AI-powered, or if your organizational tolerance level for sharing control with AI systems is a higher bar than any current AI systems may be able to reach.

In the era of AI, it can be easy to search for best practices or quick wins, but the truth is: no one has quite figured all of this out yet, and by the time they do, it won’t be differentiating for you and your organization anymore.

So, rather than wait for the perfect solution or follow the trends set by others, take the lead. Assemble a team of champions and sponsors within your organization, tailor the AI Trust Equation to your specific needs, and start evaluating AI systems against it. The rewards of such an endeavor are not just economic but also foundational to the future of technology and its role in society.

Some technology companies see the market forces moving in this direction and are working to develop the right commitments, control and visibility into how their AI systems work — such as with Salesforce’s Einstein Trust Layer — and others are claiming that that any level of visibility would cede competitive advantage. You and your organization will need to determine what degree of trust you want to have both in the output of AI systems as well as with the organizations that build and maintain them.

AI’s potential is immense, but it will only be realized when AI systems and the people who make them can reach and maintain trust within our organizations and society. The future of AI depends on it.

Brian Evergreen is author of “Autonomous Transformation: Creating a More Human Future in the Era of Artificial Intelligence .”

DataDecisionMakers

Welcome to the VentureBeat community!

DataDecisionMakers is where experts, including the technical people doing data work, can share data-related insights and innovation.

If you want to read about cutting-edge ideas and up-to-date information, best practices, and the future of data and data tech, join us at DataDecisionMakers.

You might even consider  contributing an article  of your own!

Read More From DataDecisionMakers

Environment | Illegal trash dumping is a problem in Silicon…

Share this:.

• Click to share on Facebook (Opens in new window)
• Click to share on Twitter (Opens in new window)
• Click to print (Opens in new window)
• Click to email a link to a friend (Opens in new window)
• Click to share on Reddit (Opens in new window)

Today's e-Edition

• Latest News

Environment

• Transportation

Breaking News

Environment | jury in donald trump’s hush money case asks to rehear testimony as deliberations get underway, environment | illegal trash dumping is a problem in silicon valley. here’s how one south bay town is trying to solve it., with county resources spread thin, san martin residents have taken trash cleanup into their own hands.

He peels the flattened husk of the poor creature off the pavement, to the disgusted groans and laughter of his trash-collecting companions.

The volunteer-led San Martin Trash Bash can add that snake to a list of odd and sometimes unsettling finds that includes hundred-pound tractor tires, porn DVDs and even dead goats.

While litter is an issue all over Silicon Valley, unincorporated San Martin does not have dedicated staff to deal with the problem. So instead, a group of volunteers has taken matters into their own hands, cleaning up 1,300 lbs. of trash in 2024 alone — and that number can stretch into multiple tons by the end of a year.

“We’re unincorporated, we don’t have a governing body that’s local, so we’re the citizenship putting in the time,” said resident Liz Paredes Bahnsen. “This is my home. This is my backyard, this is my front yard. Let’s keep it clean.”

Volunteers Anthony Stafford, left, Tyler Kroen, Paula Bringelson and Connie Ludewig load a truck with trash after picking it up at the intersection of Murphy and San Martin avenues during their bi-annual cleanup event in San Martin, Calif., on Saturday, May 18, 2024. (Ray Chavez/Bay Area News Group)

Volunteer Pamela Courtney picks up trash at the intersection of Murphy and San Martin avenues during their bi-annual cleanup event in San Martin, Calif., on Saturday, May 18, 2024. (Ray Chavez/Bay Area News Group)

Volunteers Anthony Stafford, center, Paula Bringelson, right, and other volunteers unload a truck with trash into a dumpster after picking it up at several locations around the town during their bi-annual cleanup event in San Martin, Calif., on Saturday, May 18, 2024. (Ray Chavez/Bay Area News Group)

Volunteer Jacob Hoefling picks up trash near Llagas Creek during their bi-annual cleanup event in San Martin, Calif., on Saturday, May 18, 2024. (Ray Chavez/Bay Area News Group)

Volunteer Martin Groen picks up trash near Llagas Creek during their bi-annual cleanup event in San Martin, Calif., on Saturday, May 18, 2024. (Ray Chavez/Bay Area News Group)

Volunteer Paula Bringelson picks up trash at the intersection of Murphy and San Martin avenues during their bi-annual cleanup event in San Martin, Calif., on Saturday, May 18, 2024. (Ray Chavez/Bay Area News Group)

The clean-up group began back in 2017 when residents from the San Martin Neighborhood Association were trying to figure out what to do about the trash around San Martin — a rural town tucked between Morgan Hill and Gilroy. While residents could call the county to haul away large objects like furniture or broken-down trailers, everyday litter and debris were left untouched. The town also has a small dump, which some residents say exacerbates the problem when winds blow garbage from the dump, or when individuals who don’t want to pay the fees to legally get rid of their junk decide to drop their load on a back road — which some residents refer to as a “dump and dash.”

“We were brainstorming (about) ‘if the county is not going to clean it up, what can we do?’” said Sharon Luna, who helped lead this year’s Trash Bash.

The association decided to take the problem into their own hands, gathering a few dozen volunteers twice a year to pick up the trash. To sweeten the deal, volunteers get free food, and this year were awarded prizes for the weirdest and largest pieces of trash.

The trash bash has delivered both in volume and weirdness of garbage. The small band of volunteers has gathered tons of trash at their cleanups, peaking at a whopping 7.7 tons in 2019, according to the organizers. In previous years, rubbish has featured a rural flare — including dead goats, dead chickens and tractor tires — as well as satellite dishes, baby booties, a car roof and countless bottles of cheap vodka and Fireball. This year, Kroen’s rattlesnake won for the weirdest find.

However strange the trash might be, San Martin’s garbage problem is far from unique. In 2020, Caltrans reported spending over $100 million cleaning up some 1.3 million bags of trash along state highways. According to Gabe Molina, Superintendent of Roads and Airports for the southern section of the county, trash and illegal dumping are an issue all over Santa Clara County. However, Roads and Airports, which technically has purview over the trash, often lacks the resources to address the garbage problem when they also have to deal with fixing potholes and paving roads while their staff is spread thin.

“It’s really hard for us to send a crew out to go pick up papers when we have bigger scale work to do,” he said. His department helps provide the volunteers with supplies like buckets, garbage bags and safety cones. “I think the unique part about it is for the residents to care enough to volunteer and help clean up.”

This year, a group ranging from a grade-schooler to grandparents gathered along with a contingent from the local volunteer fire brigade to give back to the community by cleaning trash from San Martin’s roadsides and local Llagas Creek.

For many, however, it’s simply a civic duty.

“I have pride in my community. It’s a beautiful area,” says resident Pamela Courtney, standing with the rolling hills of the South Valley behind her. “I want people when they drive through to think that people care about it.”

• Report an error
• Policies and Standards

More in Environment

World News | Iceland volcano erupts again, shooting lava into the sky

Weather | India’s capital breaks heat record, officials impose water rationing

Environment | More people make ‘no-buy year’ pledges as overspending or climate worries catch up with them

Environment | California pelicans are starving. Now we think we know why.

We've detected unusual activity from your computer network

To continue, please click the box below to let us know you're not a robot.

Why did this happen?

Please make sure your browser supports JavaScript and cookies and that you are not blocking them from loading. For more information you can review our Terms of Service and Cookie Policy .

For inquiries related to this message please contact our support team and provide the reference ID below.