Your Linear backlog is full of issues. But which ones reflect real customer pain — and which are internal assumptions?
Pelin connects to Linear and analyzes issues, comments, and discussions to surface the customer signal hidden in your backlog.
Surface customer patterns from your backlog
Pelin reads your Linear issues and extracts product-relevant insights:
- Pain point detection — Which issues describe real customer problems?
- Request clustering — Group related issues that describe the same customer need
- Theme extraction — What patterns emerge across your backlog?
- Evidence linking — Connect backlog items to customer conversations from other sources
What you'll discover
Customer-backed priorities — Which issues have the most customer evidence behind them?
Duplicate requests — Where are different teams logging the same customer need?
Missing context — Which issues lack customer evidence entirely?
Cross-source validation — Do your backlog priorities match what customers say in support and sales?
Combine backlog data with customer conversations
Linear captures what your team thinks customers need. Pelin also connects to Intercom, Zendesk, Gong, and other sources to capture what customers actually say.
See both sides — and spot the gaps between them.