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
Hard technical/theoretical: You observe metric drift in a feature's click-through rate after launch. Describe statistical approaches to distinguish natural seasonality, instrumentation changes, versus true behavioral change due to the feature. Include tests and models you'd run.
MediumTechnical
0 practiced
Design a measurement strategy to detect long-term retention impact of a recommendation algorithm that increases short-term clicks but might harm content diversity. Include metrics, attribution window, analysis methods, and how you'd avoid being misled by short-term gains.
HardTechnical
0 practiced
Hard technical: Outline the steps and provide example SQL to prepare a training dataset for uplift modeling (treatment effect heterogeneity). Given tables: users(user_id, signup_date, country), events(user_id, event_type, occurred_at), experiments(user_id, variant, exposure_date). Describe target, treatment, and at least five feature categories you would engineer.
EasyTechnical
0 practiced
Instrumentation: For a new CTA button 'save-article' on web and mobile, list the event properties you would instrument to enable robust analysis (minimum of 8 properties). Explain why each property matters for measurement or downstream analysis.
MediumTechnical
0 practiced
Case study: You are given experiment results where the overall population shows a small positive lift, but one important enterprise customer segment shows a significant negative effect. Outline your investigation plan and what recommendations you might make to product leadership regarding launch and mitigation.
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