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The Mckinsey & Company Problem Solving Game

The Mckinsey Problem Solving Game (PSG) is a simulation-based assessment tool designed to test a candidate’s ability to think critically and approach complex business problems. The game is used by Mckinsey & Company during their recruitment process to identify candidates who possess the necessary analytical and problem-solving skills to succeed in the industry.

HOW DOES THE PROBLEM SOLVING GAME WORK?

Format

Since February 2023 the PSG Scenarios have been reduced down to the Ecosystem Scenario and the Redrock Study Task. This means you are guaranteed to be asked to create a sustainable ecosystem. You will have 35 minutes to solve each scenario.

Pre-February 2023, the PSG had 5 scenario games that candidates have reported as part of the PSG. Each candidate is given 2 out of 4 games to solve in a 70-minute time slot. The vast majority of candidates are given the Ecosystem Builder and then the Plant Defense scenarios to solve. There have been a small number of cases with candidates being given the Disease Diagnosis or Disaster Identification instead of the Plant Defense scenario.

1. Ecosystem Builder:

The objective of the Ecosystem Builder game is to simulate the process of building and maintaining a sustainable ecosystem. The candidate must balance various factors, such as environmental conditions and predator-prey relationships, to ensure the long-term viability of the ecosystem. The game tests a candidate’s ability to process large volumes of data, think systemically, and make informed decisions based on incomplete or ambiguous information.

2. Plant Defense:

The objective of the Plant Defense game is to simulate the process of defending a plant from pests and diseases. The candidate must identify the appropriate treatments and implement a strategy to protect the plant while minimizing the impact on the surrounding ecosystem. The game tests a candidate’s ability to think critically, analyze complex information, and make informed decisions under pressure.

3. Disease Diagnosis:

You are tasked with identifying and diagnosing an unknown disease that is affecting members of an animal population. Using a vast amount of data, you must determine the root cause of the issue and propose a treatment plan. Your diagnosis and treatment plan should be based on a comprehensive analysis of the available information.

4. Disaster Identification:

Your task is to identify the type of natural disaster that is causing the death of members of an animal population. Like the disease diagnosis scenario, you need to determine the specific nature of the disaster based on available information. Once you have diagnosed the problem, you must select a suitable relocation site where the animals can thrive. This decision must be based on a comprehensive analysis of a significant amount of data, much like in the initial stages of the Ecosystem Building scenario.

5.Redrock Study:

Redrock Study Task, often referred to as Redrock, has assumed the role of the second scenario within the McKinsey PSG, replacing Plant Defense. Although the precise scoring mechanism for the game is not explicitly detailed, we can infer, given its math-like format akin to the former McKinsey PST, that the final score is computed based on the number of correct answers. The Redrock study task involves comprehending a written report and solving mathematical problems using the information embedded in the report. It’s essential to acknowledge that due to Redrock’s similarity to the previous PST, there exists the potential for candidates to incur deductions for incorrect responses. Therefore, it’s imperative to ensure that every response you provide carries significance, as it might affect your score.