Feedback is everywhere. Support tickets. Sales calls. Slack threads. Survey responses. NPS comments.
But insights? Those are hard to find.
You know customers are telling you what to build. You just can't find it in the noise.
The PM's feedback problem
- Feedback scattered across 10+ tools
- No time to read every support ticket and sales call
- Stakeholders want data, you have anecdotes
- Manual analysis doesn't scale
You need a research assistant that never sleeps.
How Pelin helps
Pelin connects to your existing tools and does the analysis:
Aggregates automatically — Feedback from support, sales, success, and surveys in one place.
Surfaces themes — AI clusters similar feedback without manual tagging.
Quantifies demand — "137 customers requested this, representing $2.4M ARR."
Tracks over time — See if a pain point is growing or shrinking.
No more "I feel like customers want X." Now it's "Customers mentioned X 89 times this quarter."
Built for how you work
- Feature request tracking — Automatic deduplication, ranked by impact
- Pain point clustering — Grouped by product area and severity
- Semantic search — "What do enterprise customers say about onboarding?"
- Competitive intel — Know when customers mention competitors and why
Fits your existing stack
- Push insights to Linear or Jira
- Weekly digest of top themes via email
- Share dashboards with stakeholders
- Slack alerts for important signals