Analyzes user retention data and cohort behavior to identify churn drivers and optimize product stickiness.
The Retention Analysis skill provides a comprehensive framework for diagnosing product-market fit by analyzing retention curves and user behavior patterns. It automatically scans your workspace—including analytics metrics, user research, and meeting notes—to identify why users leave and what keeps them coming back. By comparing retained vs. churned cohorts using industry-standard frameworks, it helps product managers and developers pinpoint the 'Aha' moment and implement actionable interventions to improve long-term user engagement.
Características Principales
01Cross-references internal PRDs, research, and meeting notes for qualitative context.
02Provides framework-based interventions for activation and habit formation.
03Visualizes retention curve shapes (flattening, declining, or smiling).
04Identifies differentiating behaviors between retained and churned users.
059 GitHub stars
06Automatic cohort analysis for D7, D30, and rolling retention metrics.
Casos de Uso
01Diagnosing why specific user cohorts drop off significantly between Day 7 and Day 30.
02Validating the impact of recent product updates on user stickiness and churn rates.
03Identifying key feature adoption patterns that correlate with long-term retention.
