Leader Forecast Calibration Score
operationalbehavioral · leadership · score · individual
Interval honesty of a leader's forecasts: whether stated 80%/90% intervals contain actuals at their nominal rates, scored with the interval-score (width penalty + miss penalty) / Brier family. Proposed (pa-original); no normative benchmarks established.
How it’s computed
- Formula
- interval score (interval width + coverage-miss penalty) + 80/90 interval hit rates vs nominal coverage
- Measurement model
- operational (a formula over systems data) — not a reflective survey scale; “reliability” here means data quality, not internal consistency
What it operationalizes
This metric measures the construct(s) below from operational data. Through them, it connects to the meta-analytic relationship network — the bridge from what you measure operationally to what the science knows.
Use it
Track Leader Forecast Calibration Score and its drivers in the People Analytics Toolbox — the registry’s evidence wired into deployable measurement.
Related metrics
Programmatic access: /api/v1/metrics/metric.leader_forecast_calibration_score · /api/v1/evidence-statements?construct=construct.leader_forecast_calibration.