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Connect Jira to real customer evidence β€” so your backlog is driven by data, not gut feel.

We've built this for
Product managers, engineering leads, and product ops teams who live in Jira and want their backlog priorities backed by actual customer demand.
Quit anytime. Keep your data.

Here's what usually happens: customer feedback lives in Slack threads, support tickets, and CSM notes. Your Jira backlog lives somewhere else entirely. The PM becomes the human bridge β€” manually connecting what customers say to what engineering builds. It's slow, lossy, and nobody trusts the prioritization because it's based on whoever spoke loudest in the last meeting. Pilea's Jira integration changes this completely. When customer feedback comes into Pilea (from any source β€” calls, support, Slack, surveys), you can push it directly to Jira with full context. But here's the real magic: the sync is bidirectional. When an issue moves through your Jira workflow β€” from backlog to in progress to done β€” that status flows right back into Pilea. You can see which customer requests have tickets, which are actively being worked on, and which have shipped. That means when a customer asks "are you working on X?", you have the answer in seconds. And when you're planning a sprint, every backlog item shows the real customer evidence behind it β€” how many customers asked, what revenue they represent, and exactly what they said.

What you get.

  • Bidirectional sync β€” feedback pushes to Jira, issue status syncs back to Pilea automatically
  • Revenue-attributed backlog β€” every Jira issue shows customer count and total MRR behind the request
  • Full context on export β€” when you push feedback to Jira, the issue includes a summarized view of all customer evidence
  • Status tracking β€” see at a glance which customer requests are in backlog, in progress, or shipped
  • Close the loop β€” know exactly when a requested feature ships so you can notify the customers who asked

Do more with Agents.

  • "Alert when a Jira epic has 20+ customer mentions behind it" β€” catch the requests that are quietly building momentum before they become urgent
  • "Weekly update on backlog items ranked by customer revenue" β€” get a Monday morning priority list based on real demand, not opinions
  • "Notify when a shipped feature has new post-launch feedback" β€” stay on top of how customers react after you deliver