Your Jira backlog has hundreds of tickets. But which ones represent real customer pain — and which are assumptions?
Pelin connects to Jira and analyzes issues and comments to surface the customer signal hidden in your backlog.
Surface customer patterns from your backlog
Pelin reads your Jira tickets and extracts product-relevant insights:
- Pain point detection — Which tickets describe real customer problems?
- Request clustering — Group related tickets that describe the same need
- Theme extraction — What patterns emerge across your backlog?
- Evidence linking — Connect tickets to customer conversations from other sources
What you'll discover
Customer-backed priorities — Which tickets have the most customer evidence?
Duplicate requests — Where are different teams logging the same customer need?
Missing context — Which tickets 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
Jira 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.