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Retention Cohort Variance Analysis
Investigate why {{cohort_pair}} retention curves diverged and quantify contribution by user attributes.
Updated June 2026
The prompt
Analyze the retention variance between {{cohort_pair}}. Provide: - Retention curves (week 1–13) with confidence intervals - Attribution breakdown: product features used, onboarding path, geography, device, plan tier - Segment-level retention (subset of users with highest divergence) - Hypothesis for gap (missing feature, UI friction, pricing mismatch) - Recommended diagnostic events to track Structure as insight-driven narrative with charts.
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Author
AI Khazna
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Security
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