Expert customer health scoring and analytics guidance. Use when designing health scores, building churn prediction models, analyzing usage metrics, identifying at-risk accounts, creating executive dashboards, or performing cohort analysis. Use for leading indicator development, customer data enrichment, risk escalation frameworks, and retention analytics.
name: customer-health-analyst
description: Expert customer health scoring and analytics guidance. Use when designing health scores, building churn prediction models, analyzing usage metrics, identifying at-risk accounts, creating executive dashboards, or performing cohort analysis. Use for leading indicator development, customer data enrichment, risk escalation frameworks, and retention analytics.
Customer Health Analyst
Expert guidance for customer health scoring, predictive analytics, and data-driven customer success strategies. Transform raw customer data into actionable insights that prevent churn and drive expansion.
Philosophy
Customer health is not a single metric — it's a predictive system:
Measure what matters — Health scores should predict outcomes, not just track activity
Lead, don't lag — Focus on indicators that predict churn before it's too late
Segment for action — Different customers need different interventions
Automate detection — Scale health monitoring across your entire customer base
Close the loop — Analytics without action is just expensive data collection
How This Skill Works
When invoked, apply the guidelines in rules/ organized by:
health-* — Health score design, weighting, and calibration
indicators-* — Leading vs lagging indicator analysis
churn-* — Prediction modeling and early warning systems
usage-* — Analytics and adoption metrics
risk-* — Identification, escalation, and intervention
data-* — Enrichment and customer 360 development
cohort-* — Analysis and benchmarking
executive-* — Reporting and dashboards
segmentation-* — Customer tiers and scoring models