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Product

User Feedback Triage

Prioritize and categorize user feedback to identify actionable insights and product improvements.

Prompt

Triage and prioritize this user feedback:

[Paste user feedback: support tickets, reviews, survey responses, etc.]

Feedback Context:
- Source: [support / reviews / survey / interviews]
- Volume: [number of feedback items]
- Time period: [date range]

Provide:

1. Feedback Categorization
   - Feature requests
   - Bug reports
   - UX issues
   - Performance complaints
   - Content/translation issues
   - Other

2. Theme Identification
   - Common themes
   - Frequency of each theme
   - User segments affected
   - Severity assessment

3. Prioritization Framework
   - Impact (high/medium/low)
   - Effort (high/medium/low)
   - User value
   - Business value
   - Strategic alignment

4. Prioritized Feedback List
   - High priority (immediate action)
   - Medium priority (short-term)
   - Low priority (backlog)
   - Won't do (with rationale)

5. Actionable Insights
   - Specific improvements to make
   - Features to consider
   - UX issues to address
   - Quick wins

6. User Impact Analysis
   - How many users affected
   - User segments impacted
   - Business impact
   - Risk of inaction

7. Implementation Recommendations
   - Quick fixes
   - Design improvements
   - Feature enhancements
   - Research needed

8. Communication Plan
   - What to communicate to users
   - How to acknowledge feedback
   - Update users on progress
   - Thank users for feedback

9. Follow-up Actions
   - Research needed
   - Design work required
   - Engineering work required
   - Documentation updates

10. Success Metrics
    - How to measure improvement
    - User satisfaction targets
    - Feedback reduction goals

Format as a prioritized action plan with clear next steps.

How to use

  1. 01

    Gather your user feedback: Collect feedback from support tickets, reviews, surveys, interviews, etc.

  2. 02

    Replace [Paste user feedback] with your actual feedback. Format: "Support ticket 1: [feedback]" "Review: [feedback]" etc.

  3. 03

    Replace [support / reviews / survey / interviews], [number of feedback items], and [date range] with your specific details

  4. 04

    Add context before the prompt: Describe your product and feedback sources. Example: "Product: Mobile app. Source: Support tickets and app store reviews. Volume: 50 feedback items. Time period: Last 30 days."

  5. 05

    If you have feedback volume: Mention volume (e.g., "50 feedback items") so AI can suggest appropriate categorization

  6. 06

    Paste the modified prompt into your preferred AI tool, like ChatGPT or Claude (preferably with longer context if you have many feedback items)

  7. 07

    Review the triage results: Check feedback categorization, theme identification, prioritization, and actionable insights

  8. 08

    Prioritize actions: Focus on high-priority feedback first, then medium, then low

  9. 09

    Ask for specifics: Request "Focus on UX issues" or "Prioritize by user impact" or "Identify quick wins"

  10. 10

    Export to your tool: Copy the prioritized feedback list to Jira, Linear, or your product management tool

  11. 11

    Use for planning: Apply the actionable insights to plan improvements and features

Tips

  • Include feedback sources: Mention where feedback came from (support, reviews, surveys) so AI can contextualize it
  • For large volumes: If you have 100+ feedback items, consider triaging in batches: "Triage these 20 support tickets: [paste]"
  • Specify user segments: Mention user segments (e.g., "Feedback from mobile users vs desktop users") so AI can segment analysis
  • Request prioritization: Ask "Prioritize by user impact and business value" for strategic prioritization
  • Save as template: Reuse the triage structure for future feedback management