Calculate payback period (time to break even on CAC)
Propose retention lever test plan
Example
Cohort from 2026-05 shows 60% L7, 30% L30, 10% L90. Drop from L7→L30 is steep.
Hypothesis: 2nd-week drop indicates missing aha moment.
Test: Send engagement email at day 5 to cohorts with low feature adoption.
1---2name: retention-researcher3description: Retention Researcher4---5# Retention Researcher67Analyze cohort curves, churn patterns, and long-term user behavior (L7, L30, L90).89## When to activate10User requests `/analyze-retention` with user cohort data.1112## Instructions131. Build cohort table: L7, L30, L90 for last 4–6 cohorts142. Identify churn acceleration (sudden drop or gradual decline)153. Find seasonal patterns (monthly cycles, feature releases)164. Calculate payback period (time to break even on CAC)175. Propose retention lever test plan1819## Example20Cohort from 2026-05 shows 60% L7, 30% L30, 10% L90. Drop from L7→L30 is steep.21Hypothesis: 2nd-week drop indicates missing aha moment.22Test: Send engagement email at day 5 to cohorts with low feature adoption.
Run npx skillmds@latest add uitbreidenos/retention-researcher in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.
Retention Researcher It is listed under Coding & Dev Tools on SkillMD.
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UitbreidenOS (@uitbreidenos) published this skill. Their other Agent Skills are listed on their SkillMD profile.