Composite Leading Indicator Score

Individual leading indicators are signals. A composite leading indicator score is intelligence. Combining response velocity, contact initiation ratio, stakeholder breadth, adoption trajectory, and sentiment indicators into a single leading score produces a predictive health metric that moves 4-8 weeks ahead of your traditional health score. The composite score does not replace the health score — it predicts where the health score is heading.

1. Select the Component Indicators Start with 5-7 leading indicators across all three categories: behavioral (response velocity, contact initiation ratio, stakeholder breadth), adoption (trajectory, breadth, depth), and sentiment (tone, question patterns, proactive engagement). More is not better — each indicator must be independently predictive, not just available.
2. Weight by Predictive Power Not all leading indicators predict equally. In my experience, contact initiation ratio is the single strongest predictor, followed by response velocity and stakeholder breadth. Adoption trajectory is a strong mid-term predictor. Sentiment indicators are earliest but lowest-confidence. Weight accordingly: behavioral indicators at 50%, adoption at 30%, sentiment at 20%.
3. Calibrate Against Outcomes After six months of data, correlate the composite leading score against actual health score changes, renewals, and churns. Adjust component weights based on which indicators were actually predictive in your specific account base. The calibration process from CX-201a applies here — start with hypothesis weights and refine with evidence.