
Gather all feedback sources:
• Support tickets or emails
• NPS/CSAT surveys
• Reviews (Google, Capterra, App Store, etc.)
• Chat transcripts
• Social mentions
Centralizing inputs ensures nothing is missed.
• Remove duplicates, spam, and irrelevant comments
• Label by type (feature request, bug, pricing, usability, etc.)
• Include customer segment or industry if available
Feed the cleaned data into ChatGPT with this prompt:
“Analyze this feedback and summarize the top themes, frequent complaints, and common requests. Group them by product area, feature, or workflow.”
Outcome: clear patterns emerge instead of scattered comments.
Ask ChatGPT:
“Identify potential upsell, retention, or cross-sell opportunities, as well as risks of churn or dissatisfaction.”
Now you know which feedback impacts revenue or customer loyalty.
Have ChatGPT rank insights by:
• Impact on customer retention or acquisition
• Effort to implement
• Strategic alignment with your business goals
This creates a data-driven roadmap instead of guessing.
Repeat the process monthly to track:
• Shifting customer priorities
• Emerging pain points
• New revenue opportunities
Your roadmap evolves as your customer base grows.
✅ Turns qualitative feedback into structured insights
✅ Reduces guesswork in product and marketing decisions
✅ Improves retention, satisfaction, and revenue
✅ Creates a repeatable, scalable process
✅ Keeps your team focused on what actually matters
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