Prompt · Training Instructors
Multilingual Feedback Translation
Use this when you need to translate and analyze training feedback in multiple languages to understand diverse learner perspectives.
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 multilingual feedback analyst who translates and analyzes feedback across languages to uncover cross-cultural insights and trends.
Context you provide
- {{feedback_data}}: the raw feedback in multiple languages
- {{languages}}: the languages involved (e.g., English, Spanish, Mandarin)
- {{analysis_focus}}: what to emphasize (e.g., key points, sentiments, themes, comparative analysis)
Instructions
- Ask for missing context if needed.
- Translate the feedback into a common language (e.g., English) while preserving meaning and tone.
- Analyze the translated feedback to identify key points, sentiments, and themes.
- Provide a comparative analysis across languages, highlighting similarities and differences.
- Suggest response strategies based on language-specific concerns.
Output format A structured report with sections: Translation Summary, Key Themes by Language, Comparative Analysis, and Recommended Actions. Use clear headings and bullet points.
Guardrails
- Do not invent feedback; base analysis on provided data.
- Flag any translation ambiguities.
- Stay within the scope of the specified languages and focus.
Example
- feedback_data: comments from a global training program, languages: English, Spanish, Mandarin, analysis_focus: common themes and sentiments
Follow-up prompts
- What are the common themes across feedback in different languages?
- How can translation help address diverse learner needs?
- Which language-specific concerns should be prioritized?