## Guide to the McKinsey PST 2020 Update

*(Hint: Bookmark This Page - It's Long)*

The McKinsey Problem Solving Test (also known as the McKinsey PST) is a math computation, data interpretation and logical thinking test used by McKinsey to determine which candidates are granted a first round case interview. In general, candidates whose resumes McKinsey deems acceptable are invited to take the test. Based on feedback from hundreds of test takers, you must pass the test in order to get the interview. **There are few to no exceptions to this rule.**

**Why the McKinsey PST Exists**

The reason McKinsey uses the test is because there are a certain set of numerical computation and logical thinking skills required to be successful in consulting. While standardized math tests like the quantitative sections of the SAT, GRE, or GMAT do test math computational skills, it is possible to get perfect scores on these math tests but fail on the job in consulting.

It's my interpretation that McKinsey developed the McKinsey Test in order to test those skills that regular math tests do not adequately evaluate. In particular, these skills involve data interpretation and critical numerical reasoning.

Now when I hear the words "data interpretation" and "critical numerical reasoning", it always reminds me of those college entrance exam tests that were challenging, seemingly arbitrary and pretty much not useful in the real world. But, it turns out these skills actually have a very practical purpose while working as a consultant.

These skills allow you to:

1) Read a graphical chart (or the data spreadsheet that was used to create the chart)

2) Grasp what the "data is conclusively telling you" and separate from what the "data is suggesting (but not definitively so)"

3) Write a 1 - 2 sentence "headline" at the top of a Powerpoint slide state a logically correct conclusion

In other words, you end up using these skills every single day as a consultant. And if you use these skills incorrectly, then either your manager or partner has to redo your work for you (which means at some point you will get fired) or the client notices the logical flaws in your work and it makes your firm, your partner and your manager look bad (and of course means that at some point you're going to get fired).

Now you would think looking at a chart and writing a powerpoint headline is not a very difficult skill. I mean anyone can look at a chart and write a headline, but you would be surprised by how many people actually get the headline wrong. In other words, a LOT of aspiring consultants and even some first year consultants see that data and come to the WRONG conclusion.

From a McKinsey partner's point of view, it's a complete disaster if someone on your team lacks this skill... or even worse THINKS he has the skill, but actually doesn't.

It is such a big deal that McKinsey has gone to extensive effort to create this test and have thousands of candidates around the world take this problem solving test. All of this effort is taken for the sole goal of hiring new consultants who can do 1) do math accurately, 2) do it quickly, and (most importantly) interpret data CORRECTLY.

In short, being able to solve problems logically is a BIG DEAL.

**McKinsey PST Format**

The computer-based test consists of approximately 26 questions and lasts 60 minutes. No business background is needed to take the test, but being familiar with a few commonly used business terms is useful (see the McKinsey PST Frequently Used Terms section of Part II of this Guide Below). You are permitted to use pen, pencil or paper. No calculators or computing devices are permitted.

Typically a graphical chart or table of numerical data is presented along with some descriptive text about a company or industry. 4 - 5 questions follow that refer to the chart. The two most problem question types are:

**1) Math Word Problem - Given the data in Table X, calculate A, B or C.**

A, B or C might be profit margins. It might be figuring out which company's profits were larger two years ago. It might be calculating the difference in sales from today vs 2 years ago for two different companies - and figuring out which company had the bigger change.

In the US, we call these "word problems". The purpose of these problems is to give you raw data and information conveyed in a text paragraph, and see if you can figure out the math equation needed to solve the problem. Often the actual math computation isn't difficult (its just addition, subtraction, multiplication or division; often math problems are based on percentages - growth rate, cost expressed as a percentage of sales, or profits as a percentage of sales, sales of this year vs 3 years ago expressed as a percentage).

What makes the word problem difficult is a) Time, b) Time, c) Time.

Amongst those who pass the McKinsey Problem Solving Test, the consistent feedback was they finished with barely enough time. The most common reasons for making a mistake for a math word problem is misreading, misunderstanding, or misinterpreting the data presented or what the question was asking. The other big reason is computational error.

When I took my first McKinsey PST practice test, I actually missed several problems. To be fair, I had a newborn baby in the house and was sleeping 3 hours a night at the time, and I made a LOT of careless errors. My mistakes: I *thought* they were asking one thing, when they were really asking another. I rushed the computation, and made mistakes.

**2) Data Interpretation - "Given X chart, which of the following conclusions are accurate:"**

The other type of question isn't computationally intensive, but rather tests your logic and critical reasoning skills. You will be asked to refer to a chart or data table (mini spreadsheet with numbers) and asked some variation of the question: Which conclusion is correct?

Variations of this question including presenting you with potential answers that are a) definitively correct, b) could be correct but you can't be 100% sure, c) definitely wrong. The answers that are trickiest are ones that seem consistent with the data, but is NOT completely conclusive. In other words, you need to be able to look at the data and tell the difference between a factual conclusion vs. a hypothesis suggested (but NOT 100% proven) by the data

Skim the questions FIRST to get a feel for what you will be asked, THEN read the data table or chart. This allows you to get some idea of what you should be paying attention to while you look at the data or read the text.

- Read the text descriptions and the questions VERY CAREFULLY.
- Take the questions literally. (I made the mistake of assuming some of the questions were commonly used business analysis and jumped ahead to calculate what I assumed they were asking. What I should have done was look at what they were LITERALLY asking and just answer what they asked.)
- If your math computation skills are rusty, practice your math accuracy and speed. You do not have a lot of time to double check your computations on every problem. Some people don't have time to double check their computations at all. The more you're absolutely certain your math skills are accurate and quick, the more time you'll have to actually answer all the questions. (Once again, the main enemy of the test is time)
- For data interpretation / drawing a conclusion type questions, be careful of the multiple choice answer options that seems consistent with the data, but are not 100% conclusively supported by the data. The easiest way to do this is to immediately eliminate the answer options that are clearly wrong. Then BE CAREFUL in looking at the remaining options.
- For data interpretation question, one thing to ask yourself is "Is this conclusion correct under ALL scenarios?" - Just because the conclusion is true under the most common scenario doesn't mean it is true under all scenarios. For example, if you think B is the right answer because it is the conclusion you think is supported by the data, you should ask yourself "Are there any scenarios I can think of where conclusion B is not correct?"
- Remember a conclusion that is true MOST of the time is NOT the same as a conclusion that is true ALL of the time.
- Bring a watch to time yourself - do not assume every testing room has a clock.

**McKinsey Problem Solving Test - 3 Ways to Prepare**

The biggest challenge for developing your problem solving skills is there aren't many McKinsey PST practice test that are at a difficult level equal to that of the actual McKinsey Problem Solving Test. For a full list of practice tests available online, fill out the McKinsey Practice Test List - Request Form below.

There are three approaches you can take to prepare for PST:

1) Practice Computations

2) Practice Data Interpretation

3) Take McKinsey PST Practice Tests

Below are tips and resources for each of the practice methods.

**Practice Method #1: Practice Computations**

The first method is to practice the speed and accuracy of your arithmetic. The McK PST is a TIMED test. This is not the kind of math test designed to test the entire population of people with a wide range of math skills. It is intended to identify only those who are very good at math, logical thinking, etc... If you are really good at math, you will finish the test BARELY.

So even if you have a PhD in Physics or Math (I'm being serious on this), it is VERY IMPORTANT you practice your math computations. I get many, many emails from engineers who had 4.0 GPAs in school who did not pass the PST. Your math computation skills are a muscle. The more you use it, the stronger it gets. Keep in mind even if you calculate an integral effortlessly, it doesn't mean you can't make an error doing basic computations.

One resource I'd recommend to develop your computation accuracy and speed is www.CaseInterviewMath.com. This is a math practice tool that I developed for practicing: 1) arithmetic for speed and accuracy (both VERY important on the McKinsey PST) and 2) estimation math with large numbers (useful for solving some of the McKinsey PST word problems faster where precise math isn't necessary to answer the question, just an estimate will suffice.)

This tool compares your math accuracy and speed to other CaseInterview.com members and to my own test results as benchmark. This will help give you an idea of how your math skills compare with others; and whether or not you need to improve your math speed and accuracy to be competitive, or if you current skills are sufficient.

In addition to practicing math computations, you want to practice and develop your data interpretation skills.

**Practice Method #2: Practice Data Interpretation**

For data interpretation, the practice questions that most closely resemble PST questions are practice test questions from certain sections of the GRE. In particular, I would recommend practice "word problems" and "data interpretation" type GRE questions.

Keep in mind the actual McKinsey Problem Solving Test questions are harder and more sophisticated than the word problems and data interpretation questions in GRE. Sometimes the questions are combined -- word problem + data interpretation. Other times instead of presenting a straight forward problem, as you would see on the GRE, you'll see a more elaborate scenario (or multi paragraph story with one or more charts) where you have to figure out what information is irrelevant to the specific question at hand.

Remember, each chart is referenced by 4 - 5 questions. So for any ONE question, most of the information presented is NOT relevant to THAT particular question.

But before you work your way up the elaborate questions, polishing your foundational skills in word problems and data interpretation is a good idea.

*Data Interpretation & Word Problem Practice Resources:*

__Kaplan GRE Exam Math Workbook – Chapter’s on Arithmetic Review (if you're really rusty on math), Word Problem Practice and Data Interpretation Practice____Nova's GRE Math Prep Course – Sections on Percent’s, Graphs, Word Problems and If you're really rusty on math: Averages, Ratio & Proportions__- Cliff Notes Math Review for Standardized Tests - Word Problems Review
- Online Practice Resources:

Because GRE problems are much easier than the PST problems, you need to balance the nearly unlimited practice questions (that are too easy) available for the GRE vs. the much smaller pool of practice problems for the PST. In addition, there are only a few PST practice tests available online for free. The other practice tests available (including the ones I offer) do have a fee.

Additional Note: As of June 5, 2012, the GMAT is being revised to include a section on "Integrated Reasoning". From my assessment, this section of the GMAT has many similarities to the McK PST. If anyone has any experience with this version of the GMAT or as the test prep guides are updated to reflect this new section of the GMAT, please post your experiences below and I will incorporate the feedback into a revision of this guide.

**Practice Method #3: Take McKinsey PST Practice Tests**

The following are links to a few McKinsey PST Practice Tests.

*Links to Free Problem Solving Test Samples:*

- McKinsey Problem Solving Test - Sample Test Question on Data Sufficiency (from this website)
- McKinsey Problem Solving Test - Example Test Question on Data Sufficiency - Answer Guide (from this website)
- McKinsey Problem Solving Test 1 (from McKinsey Website)
- McKinsey Problem Solving Test 2 (from McKinsey Website)
- McKinsey Problem Solving Test 3 (from McKinsey Website)
- McKinsey Problem Solving Test Coaching Guide (from McKinsey Website)

Note: The consensus feedback from reader Field Reports is the actual McKinsey Test has a lot more reading than the samples posted above. My takeaway from this is that its important to read the questions FIRST, then read the text and charts. Keep in mind you are not reading a magazine article or a business school case. Your only mission is to answer the questions asked and to move on... QUICKLY.

With that in mind, I recommend reading with a PURPOSE in mind, as opposed to just for general knowledge. In other words, KNOW what you're looking for BEFORE you read. Then read carefully while hunting for the data you KNOW you will need to answer the questions.

Definitive Guide to the McKinsey Problem Solving Test |

Hello everybody,

Does somebody know more websites that has practice tests? I would like to study some more.

P.S.

How did it go in your exam @RSA?

@Rod: FYI. http://www.consultingcase101.com/mckinsey-problem-solving-test/ has some practice tests. The three cases I had were: Freddie Shrimp, PharmCo and Gallery, the shrimp case has 3 really hard quant questions. These questions are probably placed there as a trap to suck up your time. Just skip them or guess an answer. Hope it helps.

@Tom: Could you give me your email since I would like to ask you some questions about cases.

Hi Guys,

I’m taking mine within the next 2 weeks in South Africa. I will admit, I was nervous at the prospect of writing the PST but having read all your posts and visiting the various suggested links…I more at ease now and hope it will go well. Thanks to everyone for the posts,much appreciated.

P.S: Will let you know how it goes :-). Compliments of the new year by the way!

I just googled around and found there are actually several very good Practice PSTs that are available online. They are claimed to created by a few ex-McKinsey consultants:

http://www.consultingcase101.com/mckinsey-problem-solving-test/

Hope it helps in your PST preparation:)

Can i have a chat regarding preparation please.

Just heard back from McK regarding my PST result and i can say i am lucky to pass the test!

I applied for BA position in Indonesia office and did not have proper time to prepare.

The tips given by VC are very helpful and make sure you have enough sleep before the test.

The test itself, technically the same level with the sample they gave but with more reading part in it.

The quant part is tricky if not easy so my suggestion do not skip it, it was easier for me rather than “look at the case and find the valid answer”!

Anyway good luck to all of you!

Just completed the PST – will be hearing back on results tomorrow. It was a mad rush but that is no secret. The main thing to note is you don’t need to understand the details of the case to answer the questions. Use the elimination method on the answer choices, and read the question before scanning the case for necessary information. Otherwise you will not have enough time. Overall I thought it was ok (fingers crossed!), but definitely requires proper answering strategy to finish in time. There were many questions around logical deduction. E.g. ‘which of the following statements, if true, supports (or NOT support) the trends in the data.’ Not sure how to prepare for those – its really just logic and thinking each statement through.

Please let me registration to get sufficient sources and your advices for Mc Kinsey’s test.

Thanks and look forward to hearing from you soon.

All the Best,

Hi, I just passed a 30 mins case interview + a 45 mins computer test with BCG today.

The case was not tricky but there was an equation to write down from the data given, and I wasn’t really able to practice and I could not find the answer. Although once I was told the solution I found it relatively straightforward. I wish I had found ways to practice more though.

As for the computer, you MUST check the time yourself as you will only be told when there’s five minutes left. Also skim through ALL the questions before you start the test. I did not do that and I was caught by the time. If I had skimmed I would have sparred more time for questions 20-26 where there was a lot of text, and which I did not do. Apart from that the questions are also pretty straightforward. Try to revise % growth rates over a couple years, and read the documents carefully..

Brice,

Could you give me your email adress ? I have the potentia test in 3 weeks

Thanks

Good Luck Luis!!!!

I’m taking the test next week….. so, i need practice the more and more as possible, thanks to the blog’s owner by all the info!!!

Hello to all! I am taking the exam tomorrow and I am pretty nervous! When I first practiced the test I got 13 out of 26 wrong… due to overconfidence. Now, after practicing, I think I can do all right. Wish me luck and will certainly type some insights tomorrow! Thanks for all the previous posts!

Hi everyone. I am taking the exam tomorrow. If someone has taken the exam recently can you please provide with insights that they consider are useful for my exam. Thanks !