Customer Health Score Designer
Design multi-dimensional customer health scoring systems for SaaS and subscription businesses, with signal normalization, weight calibration, playbook integration, and validation frameworks.
SupaScore
84.6Best for
- ▸Design predictive health scoring models for enterprise SaaS platforms with 10K+ customers
- ▸Build automated customer success playbook triggers based on multi-dimensional health signals
- ▸Create account prioritization frameworks for CSM teams using normalized engagement data
- ▸Develop churn early warning systems with configurable risk thresholds and escalation paths
- ▸Implement health score validation frameworks to measure predictive accuracy against retention outcomes
What you'll get
- ●Multi-dimensional scoring framework with 4 weighted dimensions, each containing 2-3 normalized signals with percentile-based scoring methods
- ●Playbook automation matrix mapping health score changes to specific CSM actions with timing and escalation rules
- ●Validation methodology comparing health score predictions against actual churn/expansion outcomes with statistical significance testing
Not designed for ↓
- ×Simple customer satisfaction surveys or NPS scoring systems
- ×Basic spreadsheet-based health tracking without predictive modeling
- ×One-off churn analysis without ongoing operational integration
- ×Generic analytics dashboards that don't drive specific CS actions
Detailed customer data architecture, business model specifics, current CS processes, and clear definitions of healthy vs at-risk customer behaviors.
Complete health scoring framework with signal definitions, normalization methods, dimension weights, playbook triggers, and validation methodology with implementation roadmap.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 7 sources (2 books, 3 industry frameworks, 1 official docs, 1 academic)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
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Works well with
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Common Workflows
SaaS Retention Intelligence Pipeline
Complete customer retention workflow from segmentation through health scoring to automated intervention strategies
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