Introduction
Metric Diagnostics answers why a business measure changed. It confirms the formula, time range, baseline, and data quality, then decomposes movement across channels, regions, customers, products, devices, or lifecycle stages. It separates operational drivers, mix shifts, one-off events, and instrumentation problems, with evidence strength, uncertainty, and next checks.
Use Cases
Use it for revenue declines, conversion swings, retention anomalies, rising costs, or sudden market changes. It is also useful when teams have conflicting explanations and need one definition plus contribution, segment, funnel, and time-series analysis.
Template
Provide the metric, formula, change period, baseline, and raw data or query results. Note known releases, campaigns, product changes, and external events. List available dimensions, materiality thresholds, current hypotheses, the decision at stake, and whether you need a rapid triage or full diagnosis.
