Test Completion Report
Release-decision audit trail: CI link, artifacts, commit SHA, sign-offs, regression risk + outcome metrics.
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Execution Summary
Defect Summary
From narrative summary to release-decision audit
The classic test completion report was a 5-page narrative: scope, approach, results, conclusion. In 2026, with audited compliance regimes (SOC 2, ISO 27001, HIPAA, banking) and continuous delivery, the report must be a verifiable audit trail. Anyone, auditor, new hire, incident investigator, should be able to reconstruct what shipped, what was tested, who signed off, and what risk was accepted. This template makes the audit trail explicit.
The verifiable trio: CI link + commit SHA + release tag
Three fields collapse to one source of truth:
- CI run link: the exact pipeline execution that produced the artifacts
- Commit SHA: the exact code state shipped
- Release tag (vX.Y.Z): the human-readable name for that state
Six months later, an auditor or incident investigator can: clone the repo at SHA, replay the CI run, fetch the artifacts. The report becomes self-verifying.
Artifact links: what testing actually proved
Link the actual evidence: Playwright HTML report, Lighthouse CI run, coverage report, axe-core scan, security scan output, k6 load report. The completion report is then a navigation hub to verifiable evidence rather than a narrative claim that "testing was sufficient."
Sign-off chain with dates
Each signer puts their name and date. Roles typically include:
- QA Lead: confirms test results match acceptance criteria
- Engineering Manager: confirms code quality and rollback readiness
- Product Owner: confirms scope matches release intent
- SRE / On-call: confirms observability and runbook readiness (for higher-risk releases)
- Security: confirms security testing complete (for security-sensitive releases)
The chain is the audit trail. Empty signatures mean the release skipped a check: visible in the report.
Regression risk score: the "known unknowns" field
A Low/Medium/High score for how likely this release is to break existing behaviour. Inputs: scope of changes, test coverage of affected code paths, recent flakiness signals, time pressure on QA. If a post-release issue occurs, the regression risk score in the report gives the team a trail: was this risk acknowledged at release time? If yes, the focus is on mitigation gaps. If no, the focus is on detection gaps.
Outcome metrics: escape rate trends
Beyond pass rate, document the outcome signals: escape rate target vs. actual, MTTR target vs. actual. These tie the per-release report to the quarterly quality goals.