A General Framework for Tackling Product Questions
Explore a comprehensive framework designed to help you handle ambiguous product analytics interview questions. Learn to clarify questions, make informed assumptions, analyze user flows, form hypotheses, use supporting metrics, and connect your findings to product goals. This framework boosts your ability to provide clear, structured answers that demonstrate analytical skills valued in data science roles.
Product questions are purposely ambiguous and open-ended since interviewers test how interviewees react to such questions. In a real-life work setting, we won’t have black-and-white answers ready for every problem, so learning what to do early on is incredibly important.
There are a couple of different frameworks available for ...