🤖 Prompt 7 of 7
User Feedback Trend Analysis for Backlog Decisions
You have 6+ months of support data and haven't analyzed it. Customer feedback is scattered across tickets, emails, and Slack. You need a signal on what's actually broken.
From the article 7 AI Prompts Product Owners Actually Use in Sprints
7
Prompt 7
Copy, fill in the placeholders, paste into ChatGPT or Claude.
Prompt
Analyze these support tickets and customer feedback to identify the top 5 pain points and recommend backlog priorities.
Feedback sample:
[paste 20-30 recent support tickets, feature requests, or customer comments]
For each pain point, provide:
1. How many customers mentioned it (rough count)
2. How much it's affecting their ability to use the product
3. How hard it would be to fix (rough estimate)
4. Priority recommendation (do it now, do it soon, monitor)
At the end, recommend which 2-3 items should move to the top of the backlog. Replace before pasting:
[paste 20-30 recent support tickets, feature requests, or customer comments] More prompts from this article
- #1 Backlog Item Categorization by Value and Risk
- #2 User Story Expansion from Thin Acceptance Criteria
- #3 Competitive Feature Analysis for Backlog Prioritization
- #4 Sprint Review Talking Points from Metrics and Delivery
- #5 Retrospective Insight Generation from Sprint Data
- #6 Stakeholder Update Summarization from Meeting Notes