Defines, tracks, and interprets product KPIs and user retention metrics across all product lifecycle stages.
The Product Analytics skill empowers product teams to transform raw event data into actionable insights by implementing industry-standard frameworks like AARRR, North Star, and HEART. It provides structured guidance for defining stage-appropriate KPIs—from pre-PMF activation to mature-stage retention—while offering specialized workflows for cohort analysis, dashboard design, and feature adoption tracking. By integrating this skill, users can systematically identify friction in user journeys and align cross-functional teams around data-driven growth strategies.
Key Features
01Hierarchical dashboard design from executive to feature levels
02Framework implementation for AARRR, North Star, and HEART metrics
030 GitHub stars
04Stage-specific KPI definition (Pre-PMF, Growth, and Mature)
05CLI utility for automated retention and funnel calculation
06Comprehensive cohort and retention curve interpretation
Use Cases
01Analyzing user retention curves to identify onboarding friction
02Designing a strategic metric dashboard for a new feature launch
03Establishing a North Star metric for cross-functional alignment
