Cohort Analysis
Builds and interprets cohort retention tables to pinpoint drop-off cliffs, track retention floors, and guide product interventions.
Designed for product managers and growth analysts, this skill transforms raw usage and signup data into actionable cohort retention tables to diagnose churn and evaluate product changes. It guides you through locking strict return definitions, detecting the exact lifecycle period where users drop off, assessing whether newer cohorts retain better over time, and converting retention curves into testable product hypotheses grounded in Lean Analytics methodology.
主要功能
01Retention curve shape interpretation and durable user floor identification
02Automated cohort retention table generation and structured Markdown reporting
03Drop-off cliff detection across all adjacent lifecycle periods
046 GitHub stars
05Data-driven hypothesis and action plan generation with success metrics
06Cohort-over-cohort performance comparison linked to feature releases
使用场景
01Evaluating whether a new onboarding flow or pricing tier improved user retention across cohorts
02Presenting cohort retention floors and product-market fit metrics to executive leadership
03Diagnosing where in the user lifecycle churn occurs to distinguish activation drop from habit failure