Defines, tracks, and interprets product metrics and KPIs across all stages of the product lifecycle.
The Product Analytics skill empowers Claude to act as a data-driven product strategist by providing frameworks for metric selection, dashboard design, and deep-dive analysis. It guides users through selecting appropriate frameworks like AARRR or HEART, defining stage-specific KPIs from pre-PMF to maturity, and conducting sophisticated cohort and retention analysis. By offering clear workflows and anti-pattern warnings, this skill ensures that product decisions are backed by meaningful data rather than vanity metrics, while providing CLI tools to calculate conversion and retention directly from raw event data.
Key Features
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02Framework selection including AARRR, North Star, and HEART
03Hierarchical dashboard design principles for executive and feature layers
04Stage-appropriate KPI definition for growth and retention
05Automated cohort and retention curve analysis
06CLI utility for processing CSV-based funnel and event data
Use Cases
01Developing a North Star metric and KPI hierarchy for a new product launch
02Analyzing user retention curves to identify friction points in the onboarding journey
03Designing actionable dashboards that pair metrics with specific decision rules
