Product Metrics and Health Questions

Designing and using product specific metrics to measure user experience product health and business impact. Topics include identifying a north star metric and supporting metrics at company product and feature levels, measuring activation adoption engagement retention daily active users and monthly active users feature adoption rates and time to value, using product telemetry experimentation and funnel analysis to measure feature impact, and connecting product metrics to monetization and strategic objectives. Candidates should be able to propose metrics for new features justify trade offs instrument tracking and explain how product metrics inform prioritization roadmap and stakeholder alignment.

MediumTechnical

86 practiced

You need to compute the weekly feature adoption among 'exposed' users after a gradual rollout. Given tables: exposures(user_id, exposure_time, variant), events(user_id, event_time, event_name), describe the SQL approach to compute weekly adoption rate among exposed users and how you would exclude users who were not eligible.

MediumTechnical

126 practiced

Design an experiment to measure the impact of a new recommendation widget on 28-day retention. Specify: primary metric, key secondary metrics/guardrails, randomization approach, minimum detectable effect (MDE) assumptions (baseline retention and required uplift), and a basic sample size estimate or how you'd compute it.

MediumTechnical

78 practiced

Explain uplift modeling and when it is preferable to randomized experiments. Describe the data inputs you would need to build an uplift model to target users for a retention campaign, and list two evaluation metrics for such a model.

MediumTechnical

91 practiced

Explain 'time-to-first-value' (TTFV). For two personas (freemium casual user and enterprise admin), describe how TTFV definitions might differ and why. What telemetry and cohorting decisions would you make to measure TTFV separately for these personas?

MediumTechnical

69 practiced

Explain the difference between engagement metrics and retention metrics. Provide three examples of each, and suggest one leading indicator that could predict future retention for a consumer app.

Unlock Full Question Bank

Get access to hundreds of Product Metrics and Health interview questions and detailed answers.

Join thousands of developers preparing for their dream job.