Field note
Localization QA Report Template: Document Issues Teams Can Fix
Use this localization QA report template to document locale, context, severity, evidence, fixes, ownership, and regression checks clearly.
Data accurate as of August 2026 based on market research
Introduction
A useful localization QA report turns each finding into a record that a linguist, developer, or product owner can locate, fix, and retest. The template below captures context, text, impact, evidence, correction, ownership, status, and the regression result.
Use this issue-level localization QA report template for one actionable finding at a time. Keep test plans, executive status reports, and translation scorecards as separate artifacts, then link the records to the wider test run or release decision.
Contents
Truth Box
Copyable localization QA report template
How to complete the report
English-Vietnamese example
Choose categories and severity carefully
Report, checklist, or scorecard
Human review and automated QA
Industry and search context
Common misconceptions
FAQ
Sources
Conclusion
Truth Box
| Key point | Practical meaning |
|---|---|
| Context comes first | Record the locale, build, platform, screen, and content state before describing the wording. |
| Expected and actual output must be separate | Show what the approved behavior should be and what the reviewer observed. |
| Severity needs a rationale | Explain user, functional, release, or business impact under the project's rules. |
| Automation flags candidates | A qualified reviewer confirms meaning, tone, context, and approved exceptions. |
| Closure requires a retest | A corrected string is not verified until the relevant build or content surface is checked again. |
Copyable localization QA report template
Issue title:
Locale or language tag:
Market:
Build, version, and environment:
Platform, device, browser, or content channel:
Location, screen, URL, key, or segment ID:
Source text:
Current target text:
Expected result:
Actual result:
Issue category:
Severity and rationale:
Steps or conditions to reproduce:
Evidence attachment:
Recommended correction or next action:
Owner:
Status:
Resolution note:
Regression check and result:
Related ticket, glossary entry, or style rule:
Data or confidentiality note:
Treat this as a practical synthesis, not a universal standard. Adapt the fields to the product, risk level, content type, and issue tracker. GitHub's issue-template documentation supports the same operational idea: standardize intake so reporters provide useful information consistently.
How to complete the report
| Field group | What to record | Avoid |
|---|---|---|
| Identity | A short title, locale, market, build, platform, and exact location | “Vietnamese text is wrong” without a reproducible location |
| Language evidence | Source, current target, approved terminology, and relevant context | A correction with no reason or source reference |
| Behavior | Expected result, actual result, and reproduction conditions | Assuming the developer can infer the intended behavior |
| Assessment | Category, severity, affected journey, scope, and workaround | Severity based only on personal preference |
| Action | Proposed fix, decision owner, status, and related ticket | Assigning ownership to an unnamed “team” |
| Closure | Resolution note and regression result in the corrected build | Closing the issue when a file changes but before retesting |
Use a valid language tag when the workflow requires one. W3C guidance on BCP 47 language tags explains how language and region subtags work. A tag such as vi-VN identifies language and regional context, but it does not replace the build, platform, market, or screen fields.
Protect evidence. Screenshots, logs, URLs, test accounts, and internal tickets may expose personal data, credentials, unreleased interfaces, or client information. Redact restricted details and store sensitive attachments only where the approved team can access them.
English-Vietnamese example
This hypothetical example shows the level of detail, not a client result.
| Field | Example entry |
|---|---|
| Issue title | Checkout uses an unapproved Vietnamese label for “Review order” |
| Locale and location | vi-VN, checkout summary button, staging build |
| Current target | Xem lại đơn hàng của bạn |
| Expected result | Use the approved glossary label Kiểm tra đơn hàng and the product's no-direct-address UI style |
| Category | Terminology and style |
| Severity rationale | The checkout still works, but the label conflicts with the approved term and address convention. Apply the project's defined severity level. |
| Recommended action | Update the string, check matching labels in the checkout flow, then retest the Vietnamese build |
| Closure evidence | Corrected build screenshot, glossary reference, and regression result |
For English-Vietnamese work, the report may need to explain pronoun choice, formality, natural phrasing, terminology, UI space, or local search intent. The issue should point to an approved brief, glossary, style rule, product context, or clear user impact. A preference without a reference is not automatically a defect.
Choose categories and severity carefully
The current MQM error typology has seven high-level dimensions and allows teams to select the granularity that fits their environment. Use the smallest useful category set. An issue report should help triage, not force reviewers through a taxonomy that the project does not need.
Smartling's MQM schema documentation shows one implementation of categories, severities, weights, and pass rules. Those defaults belong to that implementation. Your report should follow the project's approved definitions.
A severity rationale should state who is affected, what meaning or function changes, how wide the scope is, whether a workaround exists, and whether release is at risk. Keep priority separate when the workflow distinguishes business urgency from issue impact.
Report, checklist, or scorecard
| Artifact | Best use | Main output |
|---|---|---|
| Checklist | Confirm planned checks were completed | Coverage and pass or fail state |
| Issue report | Route one finding through correction and retest | Actionable defect record |
| LQA scorecard | Evaluate a sample against a defined quality model | Categories, severities, and a project-specific result |
| QA status report | Summarize a test cycle for stakeholders | Scope, results, open risk, and release view |
TestRail's QA report guidance covers test purpose, requirements, results, defects, and recommendations at the reporting level. Jam's bug-report guide emphasizes location, expected and actual results, environment, reproduction steps, and visual evidence. The localization template combines those mechanics with language and locale context.
Human review and automated QA
memoQ and Smartling distinguish structured LQA from automated checks. Tools can flag placeholders, tags, numbers, spacing, URLs, or other rule-based patterns. Lokalise's QA documentation lists examples of these mechanical checks.
Human review is still needed for meaning, terminology in context, tone, audience fit, and justified exceptions. Phrase's localization testing guide also separates linguistic, functional, and regional concerns. The report should identify which kind of review found the issue and who owns the final decision.
Industry and search context
Current search results for “localization QA report template” mix general QA reports, testing checklists, LQA explainers, and downloadable forms. Few results show how to move one localization finding from evidence through ownership to a verified retest.
That operational trail is the useful gap. It also creates an NDA-safe proof artifact when properly redacted, which can support a localization portfolio or an evidence-led localization specialist CV without exposing restricted client material.
Common misconceptions
Every language issue needs the highest severity
Severity follows agreed impact and project rules. A terminology preference, broken variable, misleading safety instruction, and blocked checkout do not carry the same risk.
A screenshot is a complete report
A screenshot shows a state. The team still needs locale, build, location, expected result, actual result, rationale, owner, and retest status.
Automated QA confirms the translation is wrong
Automated checks surface candidate problems. Human review confirms context, approved terminology, meaning, and exceptions before release decisions.
FAQ
What should a localization QA report include?
Include locale, build, platform, location, source and target text, expected and actual results, category, severity rationale, evidence, proposed action, owner, status, resolution, and regression result.
Is a localization QA report the same as an LQA scorecard?
No. An issue report routes one finding to closure. A scorecard evaluates a body or sample of content against a defined quality model.
How should I assign severity to a localization issue?
Use the project's definitions. Explain user or functional impact, scope, workaround, and release risk instead of assigning severity from personal preference.
Can AI or automated QA complete the report?
Automation can prefill context and flag mechanical patterns. A qualified reviewer should confirm language, product context, impact, recommended action, and final resolution.
How do I document confidential localization work?
Use approved systems, redact restricted details, limit attachment access, and never publish client material without permission. A sanitized template can show process without exposing the source content.
Sources
- MQM Council, The MQM Error Typology
- Smartling, LQA Overview
- Smartling, LQA MQM Schema Templates
- memoQ, Linguistic Quality Assurance Models
- Lokalise, QA Checks
- Phrase, Why You Should Give Localization Testing Top Priority
- TestRail, How to Create a QA Report Template
- Jam, How to Write a Bug Report
- GitHub Docs, Configuring Issue Templates
- W3C, Choosing a Language Tag
- ISO, ISO 17100:2015 Overview
Conclusion
A localization QA report should make the next action clear and leave a trace of the decision. Start with the copyable template, adapt the categories and severity rules to the project, protect sensitive evidence, and require a regression result before closure.
For English-Vietnamese localization, LQA, MTPE, or language workflow support, review my digital CV and proof routes or email [email protected].
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