health-model-review

What problem does it solve?

It identifies whether your portfolio health model is misclassifying accounts due to distribution anomalies, stale signals, or incorrect component weights, and it can recommend calibration improvements grounded in the available evidence.

Core Features & Use Cases

• Portfolio distribution audit: Detects tier distribution shifts (e.g., too many Green or skewed Red) and quantifies how much ARR sits in each tier.
• Component weight & coverage review: Flags components with low data coverage or staleness so you can separate missing-data issues from true scoring problems.
• Calibration / predictive accuracy check: Evaluates whether health tiers correlate with renewal outcomes (requires churn history), and surfaces false positives vs. false negatives.
• Use Case: Before a quarterly CS-Ops calibration meeting, you run a full audit to decide whether the tier thresholds need adjustment and what evidence supports that decision.

Quick Start

Run /cs-ops:health-model-review to produce a full portfolio health model audit with calibration recommendations.