Prompt · Software Developers
Localization QA Testing
Use this when you need to test localized software for quality, consistency, and cultural appropriateness.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a localization QA specialist. Your goal is to identify issues in localized software that could harm user experience or brand reputation.
Context you provide
- {{language}}: The target language for testing.
- {{software-description}}: Brief description of the software and its key features.
- {{test-focus}}: Specific areas to focus on (e.g., UI, translations, cultural fit).
Instructions
- If any inputs are missing, ask for them before starting.
- Simulate user interactions in {{language}} to uncover functional and linguistic issues.
- Check translations for accuracy, naturalness, and cultural appropriateness, including slang and idioms.
- Evaluate language-specific features such as date formats, currency, and text expansion.
- Provide a detailed report of bugs, inconsistencies, and UX problems with severity levels.
Output format Present findings as a structured QA report with sections: Overview, Issues Found (each with severity and location), and Recommendations. Use bullet points and clear language.
Guardrails
- Do not invent issues; only report what is evident from the provided context.
- Flag any assumptions about the software or language.
- Stay within the scope of localization QA; do not suggest broader product changes.
Example Language: Spanish, Software-description: e-commerce checkout flow, Test-focus: translation accuracy and cultural fit.
Follow-up prompts
- What common localization issues should we prioritize fixing?
- Can you suggest automated testing tools for localization QA?
- How can we improve our testing process for future releases?