Data Analyst & Analytics Interview · The Analytics Case Interview · Lesson 1 of 2
A structure for open-ended cases
Case rounds hand you a fuzzy business question — 'Should we launch X?', 'How would you measure the success of Y?', 'Estimate the market for Z.' They test structured thinking, not trivia. A visible framework keeps you from rambling.
- Clarify the goal: restate the question, ask what decision it informs and what 'success' means. Never solve the wrong problem.
- State assumptions out loud and confirm scope (which users, which market, what timeframe).
- Structure the approach: break the problem into a small MECE tree (e.g. success = adoption x engagement x retention x monetization).
- Define metrics & data: what would you measure, and what tables/events would you need?
- Analyze: reason through each branch, quantify where you can, note trade-offs.
- Recommend: give a clear answer with the caveats and what you'd validate next.
Think out loudInterviewers grade your reasoning, not a magic number. Narrate: 'I'll define success as X, break it into Y and Z, and prioritize Z because...'. Silence reads as being stuck; structure reads as senior.
MECEAim for branches that are Mutually Exclusive, Collectively Exhaustive: no overlaps, no gaps. A clean tree ('new vs returning users' x 'mobile vs desktop') shows you can decompose a problem systematically.
◆ Lock it in
- Follow a visible arc: clarify → assumptions → structure → metrics/data → analyze → recommend.
- Think out loud — the reasoning is the deliverable, not a single number.
- Decompose with a MECE tree to avoid overlaps and gaps.
Feynman drill — say it out loudOutline the six steps you'd walk through for 'How would you measure the success of a new feature?' before touching any numbers.
Step 1 rate your confidence · Step 2 pick your answer
You're asked an open-ended product case. What should you do before proposing any analysis?
Step 1 — how sure are you?