Feature Success Measurement Questions
Focuses on measuring the impact of a single feature or product change. Key skills include defining a primary success metric, selecting secondary and guardrail metrics to detect negative side effects, planning measurement windows that account for ramp up and stabilization, segmenting users to detect differential impacts, designing experiments or observational analyses, and creating dashboards and reports for monitoring. Also covers rollout strategies, conversion and funnel metrics related to the feature, and criteria for declaring success or rollback.
MediumTechnical
0 practiced
Explain the difference-in-differences (DiD) approach. Provide an example of when DiD is appropriate for estimating feature impact, list its assumptions (especially parallel trends), and describe diagnostics you would run to validate those assumptions.
MediumTechnical
0 practiced
Describe Sample Ratio Mismatch (SRM): what it is, common causes (e.g., SDK errors, targeting logic), how to detect it programmatically, and the steps you would take when you detect SRM mid-experiment.
MediumTechnical
0 practiced
Explain statistical power and how it affects experiment duration and sample size choices. Illustrate with an example: if you lower the MDE, what happens to required sample size and experiment run-time? Discuss trade-offs a PM must consider.
MediumTechnical
0 practiced
You observe a 5% increase in engagement after rolling out a UI feature, but at the same time overall revenue declined by 2%. As the PM, describe how you would analyze and present the trade-off, including what analyses to run, potential confounding factors to check, and recommendation frameworks for decision-making.
EasyBehavioral
0 practiced
Tell me about a time when you defined a primary success metric for a product feature and later discovered it was misleading or incorrect. Use the STAR format (Situation, Task, Action, Result). Explain how you detected the problem, how you communicated it to stakeholders, and what changes you implemented to measurement or rollout as a result.
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