Metrics Selection and Diagnostic Interpretation Questions

Addresses how to choose appropriate metrics and how to interpret and diagnose metric changes. Includes selecting primary and secondary metrics for experiments and initiatives, balancing leading indicators against lagging indicators, avoiding metric gaming, and handling conflicting signals when different metrics move in different directions. Also covers anomaly detection and root cause diagnosis: given a metric change, enumerate potential causes, propose investigative steps, identify supporting diagnostic metrics or logs, design quick experiments or data queries to validate hypotheses, and recommend remedial actions. Communication of nuanced or inconclusive results to non technical stakeholders is also emphasized.

EasyTechnical

0 practiced

Design a quick experimental validation to test whether an increase in average session duration is due to a content change or due to bot traffic. Describe the experiment, instrumentation, expected results, and how you'd interpret outcomes.

EasyTechnical

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Explain how you would use funnel analysis to diagnose where conversion is dropping in the signup-to-purchase flow. List the SQL queries or analytic steps to compute step conversion rates, CIs, and identify the largest absolute and relative drops.

MediumTechnical

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A small treatment cohort in an experiment shows a significant uplift, but the effect is concentrated in one user segment with small sample size. How would you test whether this is a real segment-specific effect versus a false positive? Describe the statistical and experimental steps.

MediumSystem Design

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Develop a short plan to instrument and validate a new metric 'time-to-first-purchase' from client SDK events to analytics. Include event definitions, idempotency keys, QA tests, staging checks, and a rollout validation checklist.

EasyTechnical

0 practiced

Design a diagnostic SQL pattern to identify whether a drop in paid conversions is uniform across payment methods or concentrated in one method (e.g., credit card vs PayPal). Include expected output columns and a suggestion for a visualization to communicate findings.

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