Feature Analysis and Launch Evaluation Questions
Designing and applying evaluation frameworks to measure feature success and inform launch decisions. Topics include defining success metrics, experimentation design and basic A over B testing concepts, setting evaluation timeframes, identifying confounding factors, cohort and funnel analysis, instrumentation requirements, and how to iterate based on results. Candidates should be able to propose metrics, describe trade offs in evaluation design, and explain how launch evaluation influences product prioritization.
HardTechnical
0 practiced
For a social product where users influence each other, standard A/B requirements are violated by interference. Describe cluster-randomized trials you could run, how to choose clustering units, and statistical analysis adjustments you would apply. Discuss limitations and how to interpret results.
MediumTechnical
0 practiced
Explain the challenges when analyzing ratio metrics such as revenue per user (RPU) or average order value. Describe statistical transformations, bootstrapping approaches, and nonparametric tests you could apply to robustly assess differences between control and treatment.
MediumTechnical
0 practiced
Design a cohort retention analysis using survival analysis concepts. Describe what a Kaplan-Meier curve shows, how to handle censoring, and how you would test difference in survival between control and treatment cohorts.
MediumSystem Design
0 practiced
Design an A/B experiment to evaluate a checkout redesign on a product with 2 million monthly active users. You expect a 2% relative uplift in conversion. Describe assumed baseline conversion, how to compute sample size or minimum detectable effect, timeframe for the test, ramping plan, and any segmentation you would pre-specify. State assumptions clearly.
MediumTechnical
0 practiced
A feature may have delayed effects on retention that only appear after 30 days. Describe how you would set evaluation timeframes, interim analyses, and when to wait for full results versus making an earlier decision. What metrics and visualizations would you produce for both short and long horizons?
Unlock Full Question Bank
Get access to hundreds of Feature Analysis and Launch Evaluation interview questions and detailed answers.
Sign in to ContinueJoin thousands of developers preparing for their dream job.