What to do now
Triage each post-cutover defect by the observed target behavior, expected source or approved rule, affected records and workflows, consequence, containment, and likely defect layer. Assign both a domain owner and a technical owner, preserve before-state evidence, and release corrections only after population-level reconciliation and regression checks.
Key takeaways
- A support ticket is not a defect population.
- Contain consequential workflows before bulk correction.
- Separate source-data, mapping, configuration, and software defects.
Capture one reproducible defect without editing it away
Record target record IDs, source IDs, property and entity, user role, timestamps and timezone, source snapshot, mapping/configuration versions, observed result, expected rule, screenshots or exports, downstream effects, and reporter. Preserve sensitive data under appropriate access controls.
GAO migration guidance distinguishes cutover reconciliation and post-conversion cleanup. The reference supports deliberate post-go-live control, not a required property-management taxonomy.
Classify layer and consequence separately
The first suspected cause may change; preserve it as a hypothesis.
| Layer | Example evidence | Containment question | Release proof |
|---|---|---|---|
| Source defect | Bad value existed in frozen export | Which workflows rely on it? | Approved source correction and reload path |
| Transformation/mapping | Same rule misconverted a field population | Can affected import batch be bounded? | Population replay plus control totals |
| Target configuration | Role, account, status, or rule differs | Should workflow be paused? | Versioned config test |
| Integration/job | Event or schedule creates drift | Can duplicate effects continue? | Checkpoint and idempotency reconciliation |
| Product/software | Target behavior contradicts configured rule | What safe manual mode exists? | Fix version and regression evidence |
Correct through a versioned stabilization release
Identify the affected population from the defect mechanism rather than searching only reported examples. Record correction logic, approvals, dry-run totals, rejects, backup or recovery path, release window, and post-release controls.
Close the defect when affected records are reconciled, downstream outputs are reviewed, regression tests pass, users are informed where necessary, and residual exceptions have owners. Do not delete the original evidence after correction.
Operational checklist
Mark your progress, then save a working copy. Selections reset when you leave this page. A checked box is not an approval or evidence of completion.
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Reproducible before-state captured
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Expected rule and source version identified
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Layer and consequence classified
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Affected population method documented
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Containment owner named
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Correction release and rejects retained
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Reconciliation and regression completed
0 of 7 marked
Edge cases
- A defect exists only for one user role: include effective permissions in the population.
- A manual workaround changed some records: distinguish original defect from workaround effects.
- The source itself was wrong: preserve that fact rather than relabeling it a migration success.
Sources and references
Follow each source to check the underlying claim. Access checks and professional review are different steps.
1. Primary source · U.S. Government Accountability Office
Financial Management Systems: DHS’s Modernization Plans Should Fully Incorporate Key PracticesMigration leading practices include cutover planning, reconciliation, post-conversion cleanup, archival decisions, and documented post-go-live actions. This is not a property-management mandate.
Source checked 2026-09-18
Automated source-access check: 2026-09-18.
Continue the workflow
PMS migration acceptance criteriaPMS migration rejected-record registerPMS migration delta capture after the source freezeRevision history
2026-09-18
Initial Phase 4 operational article with a distinct evidence artifact, failure states, source limits, and AI-assisted technical review.