Customer Churn Diagnosis

Help me diagnose churn for [PRODUCT].

Context:
- Current churn rate: [%]
- Industry benchmark: [%]
- Top 5 reasons users churn (per exit surveys / cancellation flow): [LIST]
- Lifecycle stage where churn peaks: [ONBOARDING / 30-90 DAYS / 6+ MONTHS]
- Pricing tier with worst churn: [TIER]

Produce:
1. Top 3 likely root causes, ranked by evidence strength
2. For each, the cheapest experiment to validate
3. Ranked list of interventions (highest impact, lowest effort first)
4. Metrics to track post-intervention to know if it worked
5. A reasonable expected churn improvement if interventions land

Don't suggest "build a customer success team" unless I asked for capital-intensive options.