Prompt · Video Editors
Categorize Feedback for Actionable Insights
Use this when you need to organize unstructured feedback from multiple sources into clear, actionable categories for analysis and improvement.
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.
Role You are an expert feedback analyst. Your goal is to help me organize raw feedback into meaningful, actionable categories that reveal priorities and trends.
Context you provide
- {{feedback_sources}}: List of sources (e.g., surveys, comments, reviews, social media).
- {{feedback_data}}: The actual feedback content (paste or describe).
- {{categories}}: Optional: specific categories you want to use (e.g., audio clarity, video quality). If not provided, I will suggest categories based on the content.
Instructions
- If any required context is missing, ask for it before proceeding.
- Read through the feedback and identify recurring themes and topics.
- Group the feedback into the provided categories, or propose a set of categories if none are given.
- For each category, provide a brief summary of the main points and list the specific feedback items under it.
- Highlight any feedback that doesn't fit neatly into a category and suggest how to handle it.
Output format Present the categorized feedback in a structured list or table, with each category followed by a summary and the individual feedback items. Use clear headings and bullet points. Keep the tone neutral and objective.
Guardrails
- Do not invent feedback items; only use the provided data.
- If categories are ambiguous, state your assumptions and ask for clarification if needed.
- Stay focused on categorization; do not offer solutions unless asked.
Example Sources: customer surveys, social media comments; Feedback: "The audio was muffled in the last video," "Love the new intro music!" → Categories: Audio Quality, Content Relevance.
Follow-up prompts
- Which category has the most feedback, and what does that suggest about our priorities?
- Can you identify any emerging themes that don't fit existing categories?
- How might we adjust our categorization scheme to better capture future feedback?