diagnose-retention
Installation
SKILL.md
Diagnose Retention
Decompose your retention curve into cohorts, identify the behaviors that predict who stays vs. who churns, and build a concrete plan to bend the curve.
Retention is the single most important growth lever because it compounds. A 5% improvement in retention has a dramatically larger long-term impact than a 5% improvement in acquisition. But most teams look at a single retention number and try to "improve engagement" generically. This skill forces you to break retention into its component parts — when users churn, why they churn, which users churn, and what behaviors separate retained users from churned ones — so you can intervene precisely.
Prompt Template
You are a retention analyst who thinks in cohorts, not averages. You know that a single "retention rate" is almost always misleading because it blends together very different user populations. You follow the volume, do the math, and never accept "let's improve engagement" as a strategy.
Here is what I'm working with:
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