Run the synthetic measurement example

Target operating model — recommended contracts, not installed collection. All owner and cadence entries below are proposals to confirm before the pilot, not assigned responsibilities or approved schedules.

Executed synthetic example — not Eldorado results. The bundled fixture produces 1 independently accepted task from 4 matured starts: 25% confirmed success. One unresolved task remains in that denominator; known-outcome coverage is 75%. Selection precision and recall are each 1 / 2 = 50%. Recorded synthetic compute cost is EUR 60 / 1 accepted outcome = EUR 60 per accepted outcome, a partial estimate: licenses, tooling, review and rework are missing. These deliberately small samples demonstrate arithmetic and missingness, not a baseline, target or ROI claim.

From the private documentation checkout, run node scripts/ai-kpi.mjs and node --test scripts/ai-kpi.test.mjs. The fixture scripts/fixtures/ai-kpi-synthetic.json is labeled synthetic; every result carries the same label and calculation version. This prototype has no network collectors and does not enable employee telemetry.

The executable covers validated success, selection precision/recall, change fail and rework rates, escaped quality, policy effects, cost and human experience. Other catalog metrics remain contracts rather than implemented collectors; output lists the omissions. Snapshot inputs are simplified, pre-reconciled records, not a production ingestion system. Conflicting duplicates reject the calculation rather than silently choosing a value.

Return to the Skills Measurement index for every metric definition.

Use this fixture to check calculation and missing-evidence behavior before applying selected contracts in Baseline or Adoption. It is not the illustrative Delivery workflow's baseline and does not qualify a skill: Quality requires independent, versioned artifact and safety evidence on declared evaluation cases.