Score customer health and churn risk
customer-success-managerskillsetup L2★137
borghei/Claude-Skills ↗What it does
Score customer health, predict churn, identify expansion
Best for
Quarterly business reviews and account planning by scoring customer health across usage, engagement, support, and relationship dimensions.
Inputs
- · Customer JSON with usage, engagement, support, relationship metrics
- · Optional: segment (Enterprise/Mid-Market/SMB)
Outputs
- · Health score (Red/Yellow/Green)
- · Churn risk tier
- · Expansion opportunities
- · QBR template
Requires
- · Python CLI (standard library only, no external deps)
- · JSON customer data
Preconditions
- · Customer data schema (see assets/sample_customer_data.json)
- · Segment labels optional (defaults to configuration)
Failure modes
- · Health score cannot capture qualitative relationship risk
- · Churn prediction skips intent signals (e.g., CEO departure)
- · Expansion scoring requires adoption depth not always in data
- · Thresholds generic; do not reflect industry benchmarks
Trust signals
- · Multi-dimensional health scoring
- · Python CLI tools with no external dependencies
- · JSON input schema with examples
- · Red/Yellow/Green classification