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
When using sequential monitoring for experiments, how would you adjust sample size and stopping rules compared to fixed-horizon testing? Describe alpha spending functions or group sequential methods and practical guidelines for product teams who want early stopping capability.
MediumTechnical
0 practiced
Describe uplift modeling and outline how you would build an uplift model to target users for a new engagement feature. Include the required experimental training data, how labels are formed, model choices, and evaluation metrics suitable for uplift models.
MediumTechnical
0 practiced
You have pre/post metrics but know the product has weekly seasonality. Describe a seasonality-adjusted pre-post approach to estimate the feature effect, including modeling alternatives (seasonal decomposition, time series regression), validation checks, and how to report uncertainty.
MediumTechnical
0 practiced
Write a SQL query that checks for mismatched experiment assignments across platforms. Given tables web_assignments(user_id, group, assigned_at) and mobile_assignments(user_id, group, assigned_at), find users with mismatched group or missing assignments on one platform. Describe assumptions about identity mapping and timing.
EasyTechnical
0 practiced
You must present to PMs and executives the result of an experiment that improved your primary metric but increased support tickets by 8%. Draft the structure of an executive summary that balances statistical findings, business impact, risks, and a recommended course of action.
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