This is one of those questions where the answer lives in how you organize your thinking, not in any single clever insight.
Start by clarifying the metric definition and the timeframe of the change, then systematically segment the data to isolate the source. Form hypotheses across internal (product changes, data pipeline) and external (market events, seasonality) factors, and prioritize them based on likelihood and impact. Use a combination of quantitative analysis and qualitative context to confirm or rule out each hypothesis.
Pro tip: Demonstrate business acumen by linking the metric to Coinbase's strategic goals (e.g., wallet activation, trading volume) and consider the crypto market's volatility. Also, mention the importance of checking data quality first—many 'changes' are due to logging or ETL issues.
Confirm the exact definition of the metric, the expected behavior, and the time period of the anomaly. Check for data pipeline issues, logging errors, or changes in tracking that could cause false signals.
Break down the metric by dimensions such as user cohort, platform (iOS/Android), geography, wallet type, and acquisition channel to identify which segments are driving the change. Use funnel analysis to pinpoint where the drop-off occurs.
Generate hypotheses across categories: internal (product updates, bugs, marketing campaigns), external (market events, competitor actions, seasonality), and data-related (tracking changes, pipeline delays). Prioritize based on plausibility and potential impact.
For each hypothesis, identify the data sources and analytical methods (e.g., A/B test results, time-series analysis, cohort comparison) to confirm or refute it. Use statistical rigor to avoid false positives.
Combine findings to determine the most likely root cause, quantify its impact, and propose next steps (e.g., further investigation, product fix, monitoring). Communicate clearly to stakeholders.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.