product-analytics

原文涵盖的主题

• Product Analytics
• When To Use
• Workflow
• KPI Guidance By Stage
• Pre-PMF
• Growth
• Mature
• Dashboard Design Principles

Define, track, and interpret product metrics across discovery, growth, and mature product stages. Use this skill for: Metric framework selection (AARRR, North Star, HEART) KPI definition by product stage (pre-PMF, growth, mature) Dashboard design and metric hierarchy Cohort and retention analysis Feature adoption and funnel interpretation 1. Select metric framework AARRR for growth loops and funnel visibility North Star for cross-functional strategic alignment HEART for UX quality and user experience measurement 2. Define stage-appropriate KPIs Pre-PMF: activation, early retention, qualitative success Growth: acquisition efficiency, expansion, conversion velocity Mature: retention depth, revenue quality, operational efficiency 3. Design dashboard layers Executive layer: 5-7 directional metrics Product health layer: acquisition, activation, retention, engagement Feature layer: adoption, depth, repeat usage, outcome correlation 4. Run cohort + retention analysis Segment by signup cohort or feature exposure cohort Compare retention curves, not single-point snapshots Identify inflection points around onboarding and first value moment 5. Interpret and act Connect metric movement to prod

这里只展示节选，请以完整原文和当前要求为准。