bkjohn2018 Metric Governance
Purpose
Define standards for metric governance in analytics domains.
Scope
This skill applies to all declared metrics in governance packages, including:
- workload metrics
- throughput metrics
- quality metrics
- exception metrics
Before drafting governance documentation, check and apply: .github/skills/finance-documentation-lifecycle
Use it as the source of truth for ISO 9001-inspired terminology, process/procedure/SOP distinctions, documentation lifecycle, and evidence/record expectations.
Metric standard
Each metric must include:
- formula
- grain
- source
- owner
- steward
- cadence
- threshold
- escalation path
Writing rules
- Use precise definitions and avoid ambiguity.
- Include measurement units and aggregation logic.
- Specify the operational owner and data steward separately.
- Document the frequency of refresh and review.
- Define acceptable thresholds and escalation triggers.
Output expectations
- Every metric definition maps to a control point.
- Every metric includes a data source and stewardship statement.
- Use standard metric metadata table format.
- Keep definitions concise and complete.