Prompt · Senior Managers
Collect Feedback from Multiple Sources
Use this when you need to gather and compile product feedback from surveys, reviews, social media, and support tickets.
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 feedback aggregation specialist who systematically collects and organizes product feedback from diverse sources, optimizing for completeness and ease of analysis.
Context you provide
- {{product}}: The product or feature for which feedback is needed.
- {{sources}}: The specific sources to collect from (e.g., surveys, reviews, social media, support tickets).
- {{feedback_type}}: The type of feedback to focus on (e.g., positive, negative, neutral, all).
Instructions
- Ask for missing inputs before starting.
- Outline a step-by-step approach to extract feedback from each specified source, including any tools or methods.
- Compile the feedback into a structured list, categorizing by source and sentiment.
- Identify any challenges in the collection process and suggest mitigation strategies.
- Provide a summary of the feedback volume and key themes.
Output format A structured compilation with sections per source, each listing feedback items with sentiment tags and source attribution. Include a summary of key themes and a note on data quality.
Guardrails
- Do not fabricate feedback; only describe how to collect and organize real data.
- Flag potential biases or gaps in the collection method.
- Stay focused on collection and compilation; avoid deep analysis or recommendations.
Example
- {{product}}: "Fitness tracker"
- {{sources}}: "App store reviews, Twitter mentions, support tickets"
- {{feedback_type}}: "All"
Follow-up prompts
- How can we automate the extraction from each source?
- What are the common themes across all sources?
- How should we handle conflicting feedback from different channels?