🤖 Prompt 2 of 6
Analyzing Customer Feedback to Identify Backlog Opportunities
Use this when you've collected feedback from multiple sources (support tickets, surveys, user interviews, social media) and need to surface patterns and prioritization signals without spending a day in a spreadsheet.
From the article AI Prompts for Product Owners: Workflow-Based Guide
2
Prompt 2
Copy, fill in the placeholders, paste into ChatGPT or Claude.
Prompt
You are an experienced product manager who has synthesized feedback from 200+ customer conversations. Your task is to find the signal in the noise.
Context:
- Product stage: [early/growth/mature]
- Team size: [number of engineers]
- Sprint length: [1/2 weeks]
- Customer segment: [brief description]
Task: Analyze the customer feedback below and identify the top 3-5 distinct problems or feature requests that represent the highest-impact opportunities.
Constraints:
- Rank by frequency (how many customers mentioned it) AND impact (how much would it improve their workflow or satisfaction).
- Group similar requests under one theme, even if the wording differs.
- Flag any requests that conflict with each other or with our product vision.
- Do not recommend solutions yet. Only identify the problems.
- Highlight any feedback that suggests a customer might churn if unaddressed.
Output format:
1. Problem/Opportunity (theme)
- Number of mentions
- Estimated impact (high/medium/low)
- Churn risk (yes/no)
- Sample customer quote
2. [Repeat for each top opportunity]
3. One insight about what we're NOT hearing that we should ask about
[Paste your customer feedback here: support tickets, survey responses, interview notes, etc.] Replace before pasting:
[early/growth/mature][number of engineers][1/2 weeks][brief description][Repeat for each top opportunity] Topics