The BCG Online Case evaluates several types of skill categories:
Business judgment refers to the candidate’s overall familiarity with business concepts and their general business sense. BCG emphasizes the candidate’s ability to resolve questions that are related to profitability and cost optimization, as well as being able to think in terms of company growth and innovation. Understanding the core business problem is essential for structuring analysis and developing effective solutions within the case study format.
For this reason, many cases that candidates will have to resolve are related to product development, analyzing market trends, responding to the challenges of disruptive technologies, and entering new markets.
Structuring refers to the candidates’ ability to structure their thoughts to address problems in an efficient manner. This will be in the form of questions that require you to prioritize what problems you want to solve or address, for example, having to select between several options, each addressing only some of the company’s problems in the test case, requiring you to address the problem based on a decision tree logic, as well as your ability to demonstrate structured thinking in the final video answer.
Logical reasoning questions require the candidate to draw inferences from the information provided. During the BCG Casey test, you will be provided with relatively large and complex bodies of statistical data, charts, and graphs, and you will have to draw your own conclusions from this data.
Mathematical aptitude – Candidates should be proficient in fractions, decimals, percentages, ratios, and weighted averages. While the concepts themselves may be basic, candidates must work with large and complex sets of numbers and apply their knowledge of the mathematics concepts to complex questions.
Synthesis refers to the candidate’s ability to make use of different types of skills when answering business questions, such as discussing supply and demand issues and maximizing revenue or profit. Here, candidates must integrate different types of skills and apply them to complex data sets.