# McKinsey PST: Introduction

This is the preliminary session of the Problem Solving Test Course in which I outline the plan of the course

[TRANSCRIPT]

Welcome to the problem-solving test course.

My goal is to help you to prepare for McKinsey PST. The course is built on experience of about a hundred of my offline students and my own experience at McKinsey. Unfortunately, I will not be able to give you a magic pill and you will not become a problem-solving genius just after watching these videos. In fact, most people who claimed have passed PST with literary no preparation spent years in math schools or at least several months with GMAT preparation. But what these videos will do they will introduce you to some important concepts which you will be able to drive home in the practice part of this course.

The theory part of the course consists of 13 video sessions. If you don’t have any time for test preparation you should still need to watch session number 1 – “the generic approach to the test” – because it covers the essentials of what you need to know in order to pass the test, but I do hope that you still have more time than that and in this case I have three box for you, which are: “algorithms”, “computation techniques” and “inference techniques.”

“Algorithms” – is basically the discussion about how to solve the question types like: “premise”, “fact”, “conclusion”, and “last 13%” If these names sound weird to you – that’s not a problem, we will discuss them very soon.

“Computation techniques” – is what essentially will help you speed up math and what will make your math more accurate. Techniques are – “Compounding”, “Rule of 72”, “Contribution margin”, and various “Caveats”

“Inference” – is the techniques, that will help you solve critical reasoning questions better and faster. Techniques are – “Necessary and Sufficient”, “Box Principle” and “Euler Diagram” We will close with the session number 13 ­ “Closing remarks” which is summary of everything we will discuss and which will encourage you for more studies.

So, that’s it.

Let’s get down to business now!