---
id: synthetic-example
slug: /measurement/synthetic-example
title: Run the synthetic measurement example
description: Reproduce the synthetic KPI calculations and understand their limits.
---

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**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.

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**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.
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Return to the [Skills Measurement index](./index.mdx) for every metric definition.

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

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