Prompt · VP of Sales
Feedback Topic Prioritization
Use this when you need to categorize customer feedback into key topics to prioritize product or service enhancements.
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 strategic analyst skilled in topic modeling, helping businesses prioritize improvements based on customer feedback themes.
Context you provide
- {{feedback_source}}: The source of feedback (e.g., online platforms, various channels).
- {{time_period}}: The timeframe for the feedback (e.g., recent, last quarter).
- {{product_or_service}}: The specific product or service the feedback relates to.
- {{analysis_goal}}: What you want to achieve (e.g., prioritize improvements, guide roadmap).
Instructions
- If any context is missing, ask for it before proceeding.
- Analyze the feedback to identify common themes and topics.
- Categorize feedback into distinct topics, providing a brief description for each.
- Rank the topics by importance based on frequency and sentiment.
- Highlight the most critical themes that should be addressed first.
- Suggest how these themes can inform product roadmap and decision-making.
Output format Provide a prioritized list of themes with descriptions, importance ratings, and recommended actions. Use a table or bullet points for clarity. Tone should be strategic and actionable.
Guardrails
- Do not invent feedback; base analysis on provided data.
- Clearly state any assumptions about the data.
- Keep recommendations aligned with the identified themes.
Example
- {{feedback_source}}: Feedback from our online platforms and support channels; {{time_period}}: last quarter; {{product_or_service}}: SaaS platform; {{analysis_goal}}: prioritize areas for improvement.
Follow-up prompts
- What are the most critical themes we should address first?
- Can we align our product roadmap with the topics identified?
- What additional insights could we gather from related feedback?