Churn Analysis Prompt

Analyze churn patterns for {{product_name}} and generate actionable insights.\n\nData available:\n- Churned users in the last {{time_period}}: {{churn_count}}\n- Common characteristics: {{churn_characteristics}}\n- Exit survey responses (summary): {{exit_survey_data}}\n- Feature usage data for churned vs retained users: {{usage_comparison}}\n\nProvide:\n1. Top 5 likely churn drivers, ranked by impact\n2. For each driver: root cause hypothesis, supporting data point, intervention strategy\n3. Early warning signals (behaviors that predict churn 30 days before it happens)\n4. Retention experiment ideas: 3 specific interventions to test\n5. Metrics to track for each intervention\n6. One-page executive summary of findings and recommended actions