A credible localization implementation has a narrow promise: treat locale, language tags, message ownership, formatting, fallback, review, and release state as product data. Treat word-for-word translation breaks meaning, layout, and regional expectations as a design input, not an edge case to document later.
Turn "done" into observable behavior: Localization
Acceptance criteria for localization should identify the actor, starting state, action, durable result, denied path, repeated action, and recovery evidence. The interface may report success while word-for-word translation breaks meaning, layout, and regional expectations. The criterion therefore has to compare visible feedback with the rendered interface plus the server-owned result.
Cover the states that change the decision: Localization
Test ready, empty, invalid, denied, delayed, duplicate, partial, successful, and recovered states where they apply. Add a case in which the journey reaches a narrow viewport, keyboard-only input, an empty state, or delayed data. Each case should say whether input is preserved, whether retry is safe, and which record a reviewer inspects. Avoid criteria such as "works" or "implemented" because two reviewers can interpret them differently.
Test authority, not visibility: Localization
The expected behavior must hold for an allowed actor, a denied actor, a revoked role, and a direct request that bypasses the normal interface. A denial should leave protected state unchanged and produce a useful audit record without exposing secrets. For localization, the accountable actor is the person completing the primary journey.
Attach evidence to every important claim: Localization
Use task recordings, keyboard checks, responsive screenshots, error-state captures, and completion data. Record the environment, configuration, and time range so another reviewer can reproduce the result. A passing test supports only the behavior it exercised; it does not prove every security, accessibility, performance, or operational claim. Monitor keyboard path length as a release signal.
Decision map: Localization
- Message ownership. Name the owner, authoritative record, expected state, and denial behavior for this part of localization.
- Formatting. Document the normal transition, one interrupted transition, and the smallest safe recovery.
- Fallback. Attach a reproducible test, dated result, and reviewer who accepts the remaining risk.
- Review. State the input, output, permission boundary, and removal condition before adding automation.
- Release state as product data. Record how repeated action behaves and which evidence distinguishes retry from duplication.
Boundary cases: Localization
- When the recorded value for message ownership changes after formatting is stored, name which value wins and how the losing state is reconciled.
- If evidence for fallback becomes unavailable while the localization request is in progress, preserve enough context to distinguish rejection from partial completion.
- A repeated action involving review should return the existing result or expose the possible duplicate effect before retry.
- A denied change to release state as product data must leave authoritative state untouched and create an audit record that reveals no secret.
- Recovery should restore the smallest trustworthy state first, then verify the visible localization outcome against the maintained record.
Measure the decision, not activity: Localization
Track keyboard path length and error recovery. Before collecting results for localization, define each measure's population, environment, time window, and owner. Activity is useful only when it clarifies whether the protected localization outcome became safer or easier to recover.
Set the investigation threshold for localization in advance. The acceptance review should also name the permitted response, the evidence required to close the issue, and the next review date. Stop collecting localization data when it no longer distinguishes success, denial, delay, duplication, or recovery, or when it no longer changes a decision.
Sources and local proof: Localization
These primary references document platform behavior relevant to localization. For localization, those references establish terminology and constraints; they do not verify the local implementation.
- Unicode Common Locale Data Repository
- Declaring Language in HTML
- Internationalization Quick Tips
- Language Tags in HTML and XML
- Language on the Web
Any publishable localization claim still needs dated local evidence: configuration, test output, screenshots, logs, queries, or recovery results from the named product. The acceptance review should say exactly which artifact supports each important claim.
A related InMyDraft example: Localization
WearpackSafety provides a local example of an inspectable product boundary relevant to localization. Its project catalog records this implementation detail: A public Company Directory lists 150 verified shipping, logistics, and oil-and-gas companies with search, industry filters, and sorting; admins can add, edit, publish, or unpublish records from a dedicated console.
The comparison between WearpackSafety and localization is deliberately narrow. It shows how one product makes state and evidence visible; it does not prove that every localization recommendation has been implemented. Use the WearpackSafety example to review localization, not as a substitute for testing the product in scope.
Review checklist: Localization
- Given a valid starting state, the person completing the primary journey can complete the intended localization outcome.
- Invalid and unauthorized requests leave the rendered interface plus the server-owned result unchanged.
- A repeated action does not duplicate a protected side effect.
- The team can demonstrate that it can change an approved source message and trace every affected locale to renewed approval.
- Failure and recovery produce evidence another reviewer can reproduce.
A localization decision is ready for the next stage when another accountable person can reproduce the evidence, explain the failure boundary, and perform the recovery without relying on the original author's memory.
