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.

MediumTechnical

0 practiced

Your Monthly Active Users (MAU) metric dropped 18% overnight. Provide a prioritized triage checklist separated into: (a) quick checks in the first 30 minutes; (b) data integrity checks; (c) product/UX checks; (d) infra/ops checks; and (e) stakeholders to notify. For each item include one concrete data query or log to inspect.

MediumTechnical

0 practiced

You need to define 'engagement' for a content app. Propose three candidate engagement metrics (e.g., time-spent-per-session, active-days-per-week, content-interactions-per-user), provide precise definitions, and discuss how promotional campaigns or paid acquisition might distort each metric and how you'd normalize or interpret those distortions.

HardTechnical

0 practiced

Explain how you would apply causal inference techniques (difference-in-differences, synthetic control, instrumental variables) to diagnose a metric change when the release was non-randomized or rollout had selection bias. Provide a concrete example scenario and explain which technique you'd pick and why, including required assumptions.

EasyTechnical

0 practiced

You ran an A/B test and results are statistically inconclusive: p>0.05, wide confidence intervals, small effect size. Draft a concise explanation you would present to non-technical stakeholders outlining: what we learned, what we did not learn, recommended next steps (business and analysis), and decision options (e.g., more data, incremental rollout). Keep it short and clear.

MediumSystem Design

0 practiced

Create a rubric to choose a north-star metric for a two-sided marketplace. Include at least six selection criteria (e.g., aligns with long-term value, balances supply/demand), propose three candidate north-star metrics, pick one and justify it, and list two guardrail metrics that must be monitored alongside it.

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