What is the optimal final week PST preparation schedule (Pre-McKinsey PST)?

Question

Hello,

I was just informed I have my McKinsey PST in 5 days and I wanted to know what the optimal study schedule is like? I have gone through 3 of the McKinsey pre-PSTs with scores around 15 (small minor mistakes/time management issues). I have been noting what I was doing wrong and have been practicing correcting these. I have also touched on the mental math tool. What else should I stress on?

I'd also like to know on the day of the test (Test is at 5 pm), should I study more or relax?

On the day before the test, should I cram hard?

Given my limited time, what is your advice?

Best Regards

Answer 1

Hi Gunner,

I think most of the questions have already been adressed by other experts in the following thread that you might find helpful:

https://www.preplounge.com/en/consulting-forum/what-is-the-best-way-to-prepare-for-mckinseys-pst-3440

Good luck!

Best regards

Answer 2

Hi,

I suggest the following:

Do one full case from the mck website in 60 min. Check your score. The target score is 22 out of 26 correct. If you do 17-18 correct you have great chances to improve it quite fast. If lower - it will take a couple of months

If your score is high:

Buy Viktor Cheng test prep program - best materials I've seen so far. Works also for express prep.
Practice your math. Check exercises on Cheng website. Key things - multiplication of 2 digit numbers, operations with zeros and division (Learn division table, ie. 1/8 = 12.5%, 8/9 = 88%, Learn up to 8/9)
Do the 2nd test and check the score

If your score is low you need fundamental prep:

GMAT IR, quant and verbal parts
PST-like tests available online

Best,

Vlad

Answer 3

Hello!

I would practice leveraging GMAT.

GMAT unfortunately only gets better with practicing. Good news is that there are many ways of doing so!

There are free exams in the internet that you can use for practice (the one of LBS MBA page, Verits prep, as well as some free trials for courses such as the one of The Economist (https://gmat.economist.com/)

Hope it helps!

Cheers,

Clara