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2.1 KiB
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37 lines
2.1 KiB
Plaintext
---
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id: changes-with-escaped-quality-issues
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slug: /measurement/changes-with-escaped-quality-issues
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title: Changes with escaped quality issues
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description: Definition, collection evidence and limitations for changes with escaped quality issues.
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---
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<div className="strategy-content">
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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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**Prototype calculation — no live telemetry.** The synthetic example calculates this metric; it has no network collectors.
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{/* contract:start */}
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Accepted changes with at least one confirmed post-acceptance defect during approved follow-up, split by severity.
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| Contract | Definition |
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| --- | --- |
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| Numerator | Distinct eligible change_ids with one or more linked confirmed defects in follow-up |
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| Denominator | Accepted change_ids with completed predeclared follow-up horizon |
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| Expression | N / D * 100 |
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| Aggregation | percent |
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| Unit | % |
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| Eligible population | Accepted changes in acceptance window whose follow-up is complete by as_of. |
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| Exclusions | Immature changes shown separately; duplicates/unconfirmed reports excluded but counted as pending triage. |
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| Events and source | change.accepted; defect.confirmed; defect tracking and acceptance evidence |
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| Owner / cadence | Quality Engineering / Monthly mature cohorts |
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| Missing evidence | Unknown linkage is a coverage warning; no fabricated clean outcome. Show absolute defect and severe incident counts as well. |
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| Gaming and limits | Shorten follow-up or downgrade severity; freeze horizon and rubric and independently sample defects. Descriptive signal, not causal AI productivity attribution. Source completeness, task mix and sampling limit inference; report uncertainty. Counts affected changes, not raw defects per change; no presumption defects are AI-caused. |
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{/* contract:end */}
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Read the shared [collection and safeguards](./collection-and-safeguards.mdx) before collecting data; see the [synthetic example and limits](./synthetic-example.mdx).
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Return to [Skills Measurement](./index.mdx).
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</div>
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