What problem does it solve?
Generic AI-generated HSE KPI frameworks are often rejected by regulators: they are limited to lagging outcome metrics, include gameable targets that incentivize under-reporting, lack full definitions for each indicator, and risk leaking personal health or employee data. This Skill eliminates those failures by enforcing balanced leading/lagging indicator sets, full per-indicator definitions, anti-gaming guardrails, and strict de-identification rules, all aligned to ISO 45001:2018 clause 9.1.
Core Features & Use Cases
- Balanced KPI Design: Enforces a mix of leading (predictive) and lagging (outcome) indicators per ISO 45001:2018 clause 9.1, rejecting lagging-only scorecards that provide a reactive-only view of safety performance.
- Full Indicator Definition: Requires every metric to include a formula, data source, review frequency, named owner, and stretch-but-credible target, eliminating vague, copy-paste KPIs that lack accountability.
- Anti-Gaming & Privacy Guardrails: Flags raw incident count targets that incentivize under-reporting, and automatically scrubs personal identifiers and suppresses small-cell metrics (fewer than 5 individuals) to protect privacy and meet de-identification standards.
- Use Case: A safety manager at a manufacturing site with a TRIR-only scorecard can use this Skill to add leading indicators, define every metric fully, and build a regulator-ready KPI framework in minutes.
Quick Start
Use the leading-lagging-kpi-framework skill to design a balanced set of leading and lagging HSE KPIs for your manufacturing division, aligned to ISO 45001 clause 9.1, with every indicator fully defined and anti-gaming safeguards applied.