A worked example, not a customer claim. The scenario, workflow and deliverables below are illustrative. No completed engagement or measured outcome is represented.
01 / Multilingual review
The situation: fluent answers, uneven usefulness.
Imagine a product team extending an AI support assistant to new locales. Responses may be grammatical yet use unfamiliar terminology, misread a regional expression or give instructions that do not fit the local product experience. A translation-only review would miss part of the problem.
This is an illustrative study. No customer, deployment or measured performance result is implied. The example focuses on how to turn a broad ‘language quality’ requirement into observable judgments.
02 / Multilingual review
Review the task and the language together.
The team prepares scenarios drawn from the intended support journeys and marks locale-specific assumptions. Approved terminology, tone guidance and product references accompany each scenario. The reviewer judges the response against its source context rather than against an English sentence alone.
The rubric separates meaning, terminology, locale fit and task usefulness. It also distinguishes a language defect from a product-policy or retrieval error. That distinction matters because the right correction may be a glossary update, a content change or a retrieval fix, not more translation.
| Review dimension | Example question |
|---|---|
| Meaning | Does the response preserve the intended instruction and relevant qualifications? |
| Terminology | Are product names and specialist terms used consistently? |
| Locale fit | Do dates, units, register and examples fit the intended locale? |
| Task usefulness | Can the user follow the steps in the actual product context? |
03 / Multilingual review
Give linguists the context they need.
Reviewers receive representative calibration examples, including acceptable alternatives and borderline cases. Domain questions are routed to a subject-matter reviewer; policy questions go to the responsible product owner. A language reviewer should not be expected to invent the answer to a missing product requirement.
Disagreements are resolved with a rationale and a versioned guidance update. If the underlying source content is ambiguous, the issue remains attached to that source so the same mistake is not independently corrected across several locales.
- Linguistic review
- Meaning, terminology, register and locale-specific presentation.
- Domain review
- Technical interpretation and specialist usage.
- Product decision
- Policy intent, feature behavior and unsupported assumptions.
04 / Multilingual review
Make the report useful to the next owner.
A proposed delivery includes scenario IDs, locale tags, dimension-level judgments, evidence snippets and recommended issue owners. It separates critical meaning failures from stylistic preferences and records accepted variants so future reviewers do not repeat resolved debates.
Before any launch decision, the team reviews gaps in scenario coverage and validates changes against the agreed test set. This workflow creates a structured basis for that decision; it does not establish readiness for every language, user or situation.