Design a customer health scoring system for {{product_name}}. Customer segments: {{segments}} Available data: {{data}} Success team context: {{context}} **Health Score Framework:** **1. Score Components** *Usage Metrics* (weight: 30%) - Login frequency - Feature adoption - Session depth - Trend direction *Engagement Metrics* (weight: 25%) - Support interactions - NPS/CSAT scores - Community participation - Content consumption *Business Metrics* (weight: 25%) - Contract value trend - Expansion indicators - Payment status - Renewal proximity *Relationship Metrics* (weight: 20%) - Stakeholder engagement - Executive sponsor strength - Champion presence - Responsiveness **2. Scoring Methodology** - Scale (0-100 or letter grades) - Component calculation - Weighting rationale - Threshold definitions **3. Health Categories** - Healthy (80-100): Characteristics, actions - At Risk (50-79): Signals, interventions - Critical (<50): Triggers, escalations **4. Operationalization** - Data sources - Refresh frequency - Alert triggers - Playbook mapping **5. Validation** - Correlation with actual churn - Continuous improvement process
Customer Health Scorecard
Build customer health scoring systems to predict and prevent churn
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AnalysisUse Cases
Customer successChurn preventionAccount management
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gpt-4claude-3
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