definition.metric_catalog

A metric catalog documents key product metrics with definitions, formulas, owners, and tools in a standardized table. This Skill produces a complete metric catalog for your product theme—such as user activation or retention—with metric names, calculation logic, ownership assignments, and the tooling required to track each metric consistently across your organization.

Segmentation breaks down metrics by dimensions like user role, subscription tier, or cohort to reveal patterns hidden in aggregate data. This Skill guides you through identifying required segments, data sources, and known gaps so your metric definitions support multi-dimensional reporting and accurate product insights.

Misaligned metric definitions cause analytics inconsistencies and conflicting interpretations between product and data teams. A metric catalog ensures both teams agree on what each metric means, how it's calculated, and who owns it, preventing data disputes and enabling confident decision-making.

Instrumentation planning identifies which events and data points you need to capture to measure your metrics. This Skill outputs segmentation guidance and governance checklists that specify the data sources, capture requirements, and review cadence needed to instrument your product theme end-to-end.

Yes. This Skill builds metric catalogs organized by product theme—apply it separately to themes like retention, activation, or monetization. Each catalog captures theme-specific metrics, definitions, segments, and ownership so different product areas maintain aligned but independently governed metric standards.

A metric catalog includes governance checklists and publishing cadence guidance to establish review processes and maintain metric quality over time. This ensures metrics stay accurate, ownership remains clear, and teams follow consistent practices when metrics change or new ones launch.