What problem does it solve? Founders and operators often lack a systematic way to detect which customers are at risk of churning or ready for expansion, relying on gut feel instead of evidence. This Skill turns scattered product usage, service, relationship, financial, and outcome signals into an actionable customer health model with intervention bands and monitoring. ## Core Features & Use Cases - Signal-Based Scoring: Selects predictive signals, normalizes them by segment, weights and validates them, and creates intervention bands for at-risk and expansion-ready accounts. - Decision Framework: Ranks options by constraint compliance, risk-adjusted value, confidence, and reversibility, with explicit human approval gates for customer-impacting or financial actions. - Model Drift Monitoring: Tracks risk precision, save rate, health coverage, and false alarms, with stop and escalation conditions. - Use Case: A SaaS founder asks which accounts to prioritize this quarter. The Skill loads company context and metrics, scores each segment, recommends save or expansion plays per band, and sets a review cadence with leading indicators. ## Quick Start Use customer health scoring to identify which of our accounts are at churn risk and recommend intervention plans within our budget limits.
