metric-spec-builder

A metric specification formalizes loosely defined concepts into precise definitions with numerators, denominators, and data sources. You need one to reduce metric sprawl and governance risk by enforcing a disciplined intake, validation, and conflict-check process before dashboard deployment.

To convert a metric concept into a production-ready spec, supply the metric concept, objective, audience, source material, constraints, and owner. The builder formalizes these inputs through validation and conflict-check phases, outputting a complete specification with formulas, thresholds, and refresh cadence.

Yes, you can check for metric conflicts before building dashboards. The formalization process includes a dedicated conflict-check phase that identifies overlapping metrics, returns actionable gaps, and provides migration notes and deprecation guidance for resolution.

A formalized metric specification includes fields for the metric name, definition, plain and symbolic formulas, numerator, denominator, data source, refresh cadence, owner, calculation example, thresholds, and known limitations. This populated output is ready for inclusion in a data dictionary.

Yes, the metric spec builder works without a direct database connection. It formalizes metric concepts based on provided source material and constraints, generating a fully populated specification with data source references and ownership details rather than executing live queries.

If your metric specification has gaps, the validation phase identifies precision, completeness, and alignment issues, returning actionable resolutions. The final output includes a clear pre-production note highlighting any remaining gaps before inclusion in a data dictionary or wiki.