When you are preparing for the McKinsey PST you might wonder what might happen if you fail the Problem Solving Test. Even when you prepare well, you might have a bad day or totally black out because of the stress. While you should certainly prepare well (as preparation will significantly lower stress), you cannot prepare for everything.
How many fail the PST?
We estimate that off all candidates invited to take the McKinsey PST, roughly 66% fails to make the cut. That might seem like a huge amount, but remember that only 10% of candidates are selected after every round of case interviews. With more than 200.000 applications a year, you are certainly not alone if you fail to get a job at McKinsey. But how can you make sure you beat the McKinsey PST cutoff score?
Practice the McKinsey PST
Luckily, you can increase your chances of making the cutoff score by practicing the PST. You can find a practice guide on the McKinsey website, but also by taking practice McKinsey PST tests provided by caseinterviewhq.com:
- The Key to the PST: a fully-fledged practice PST with 26 questions and an extensive answer guide. In addition, it also features tips on how to ace the McKinsey PST both when preparing and during the actual Problem Solving Test.
- The Second Key to the PST: an additional practice PST with a fresh set of cases and the same extensive answer guide.
What if I do fail the McKinsey PST?
If you fail the PST, even after preparing for it fully, you will have to wait at least year to apply again. Whatever you do during that year, you should exhibit leadership and strive to excel at what you do. You’ll be starting over from the ground up the next time you apply, so they will take into account what you did during this year. Besides waiting for a new opportunity at McKinsey, you could also apply at other strategic consulting firms, such as BCG or Bain. You’ll find similar people and assignments at their offices, though the culture might of course differ.
Other than that, there’s not much you can do: McKinsey has the luxury to be superstrict when it comes to applications and they will no