Metrics & Analysis interview questions
Every Metrics & Analysis question, each with a model answer and framework breakdown.
Junior
- How would you define success for a new user onboarding flow?
- What metrics would you track for a social sharing feature?
- What is the difference between a vanity metric and an actionable metric?
- What is a cohort analysis and when would you use it?
- You launch a feature and usage is lower than expected. How do you investigate?
- How would you measure the health of a mobile app?
- How would you set up tracking for a newly launched feature?
- How would you measure the impact of a push notification campaign?
- How would you evaluate whether a free trial is converting at the right rate?
Senior
- Your product's DAU dropped 20% overnight. Walk me through how you'd investigate.
- How would you measure the success of a new AI customer support feature?
- How would you set up an A/B test for a new checkout flow?
- How would you define the north star metric for a food delivery app?
- How do you handle conflicting signals between quantitative and qualitative data?
- Our activation rate is 40%. Is that good or bad, and what would you do?
- How would you measure the ROI of a product redesign?
- How would you design a metrics dashboard for a senior leadership team?
- How would you approach measuring the success of an AI-powered feature?
- How would you evaluate whether a product experiment was successful?
Lead
- How would you build a metrics framework for a newly launched product with no historical data?
- How do you prevent metric gaming in your team?
- How would you present mixed results to a board when some metrics improved and some didn't?
- How do you set up a metrics culture in a team that doesn't trust data?
- How would you decide which metrics to include on a company-wide product dashboard?
- How would you build the business case for a new analytics tool your team needs?
- How would you respond if an executive challenges a metric you've presented?
- How do you measure the long-term impact of a product decision made two years ago?
- How would you handle a situation where two squads are optimizing for conflicting metrics?
- How would you approach a situation where your product's key metric is growing but revenue is flat?