Any advice for a Parthenon-EY interview (UK)? Thank you!

Case interviews are a central component of the consulting application process. Success in these interviews requires not only analytical thinking, but also the ability to solve problems in a structured manner. Many candidates rely on standardized frameworks, but these alone are often not enough to distinguish themselves from the competition.💡 In this article, we will show you how to effectively practice structuring to succeed in your case interviews. The Benefits of a Solid StructureA well-thought-out structure offers numerous advantages during a case interview:Clarity in Analysis: A clear structure helps you break down complex problems systematically. This allows you to analyze the issues precisely and ensure you cover all relevant aspects.Efficient Problem-Solving: With a solid structure, you can solve problems more quickly and efficiently by breaking your analysis into manageable steps and focusing on the key points.Facilitated Communication: A good structure enables you to present your thoughts clearly and logically. This not only improves your own understanding of the problem but also helps the interviewer follow your reasoning and understand your arguments The Problem with Standardized FrameworksIf you've already dealt with case interviews, you're likely familiar with standardized frameworks. While it’s important to know and be able to use them, there are some limitations to be aware of:No Differentiation: Almost all candidates are familiar with these frameworks. Relying solely on them won’t help you stand out from the competition. Moreover, many of these frameworks are often not MECE (Mutually Exclusive, Collectively Exhaustive) and are quite basic.Frameworks Don’t Fit All Questions: Your interviewers are increasingly asking unconventional questions. Imagine your client is a fictional country looking to develop a plan to combat climate change. No standardized framework will help you here.Playing the Wrong Game: A case structure is more than just a list of topics. Without a thorough, specific logic, you’ll only perform random analyses and hope to find something useful – something you should avoid as an aspiring consultant.Structuring is therefore crucial in the case interview. A well-thought-out structure helps you break down questions clearly and communicate effectively. It supports your strategy and argumentation. Many candidates fail by relying on standardized frameworks that often don’t fit. Instead, each case deserves a unique, tailored framework.However, it’s useful to familiarize yourself with existing frameworks, as they can serve as a foundation to develop a personalized approach.💡 Pro Tip: We’ve explained the 11 most common frameworks for you. Practice Structuring with Our Structuring Drills 🎯What are Structuring Drills?Our Structuring Drills are a tool designed to help you improve your case structuring skills. We offer various packs, each containing “Quick Drills.” For each exercise, you have 10 minutes to answer 5 questions.🔍 Check out our Structuring Drills and:Learn to structure complex case prompts and business problems using MECE buckets and sub-buckets.Share your answers with the community, compare your structure and notes, and rate the best solutions.Continuously improve your structuring skills and master your case interview.A solid structure is the secret recipe for your case interviews. It helps you analyze and solve complex problems with a clear and logical approach. The MECE approach (Mutually Exclusive, Collectively Exhaustive) is your best practice method to develop a robust structure. Our Structuring Drills will show you how to apply this technique to perfect your structured thinking.

Correlation and causality are two important terms in statistics that are often confused with each other. In this text, the difference between the two is explained with understandable examples and related to the business consulting industry. Keep in mind that math is an important aspect of the case interview.The Principle of CorrelationCorrelation describes the degree of relationship between two variables. When two variables correlate, it means that changes in one variable are accompanied by changes in the other variable. A positive correlation occurs when the values of both variables increase or decrease together. An example of a positive correlation is the relationship between the number of hours spent preparing for an exam and the score achieved. As a rule, the more time one invests, the better the exam score.A negative correlation occurs when the values behave in opposite ways, that is, when the value of one variable increases, the value of the other variable decreases, and vice versa. As an example, there may be a negative correlation between the number of hours one spends watching TV and physical fitness. The more time one spends in front of the TV, the less time one has for physical activities, which can lead to lower fitness.However, it is important to understand that correlation alone is not sufficient to conclude causality.The Principle of CausalityCausality means that a change in one variable is a direct cause of a change in another variable. In other words, one variable causes a change in another variable. An example often used to explain the difference between correlation and causality is the relationship between the number of ice cream sales and the number of sunburns. There is a positive correlation between these two variables because more ice cream is sold on sunny days and more people also get sunburned. However, it would be wrong to assume that ice cream consumption causes sunburns. In reality, the common cause of both is sun exposure. On sunny days, people buy more ice cream and are also at higher risk of sunburn. This example illustrates that correlation does not automatically indicate causation.=> Correlation does not always mean causalty! Correlation and Causality in Management ConsultingIn consulting, understanding correlation and causality can play a critical role. When consultants analyze data to help companies or organizations, it is important that they draw the right conclusions and not make false assumptions. Usually it is important to decide which factors should be qualitative and/or quantitative analyzed.Let's say a company finds that there is a strong correlation between the use of a particular marketing strategy and sales growth. The company might be tempted to assume that the marketing strategy is directly responsible for sales growth and therefore continue to invest heavily in that strategy. However, it could be that the correlation only indicates that both variables are influenced by another, as yet unknown, cause. To confirm causality, further research would be required, such as experiments or bigger control groups to test the direct impact of marketing strategy on sales. Possible causes could also be pricing, a change in the product portfolio or the changing size of the market.Overall, it is important to understand that correlation and causality are different concepts. Correlation simply describes the relationship between two variables, while causality implies a cause-and-effect relationship. Just because two variables correlate does not automatically mean that one variable is the cause of the change in the other variable. Further investigation and evidence is needed to conclude causality.