Turn tickets into pull requests.
Tickets cluster, Research confirms the problem in replays, Build opens a fix behind a flag, and Monitor verifies the ticket volume drops.
From support queue to shipped fix
The loop that closes the gap between what customers say and what the product does.
Cluster what customers report
Zendesk, Intercom and chat tickets grouped by problem, ranked by volume and revenue at risk.
Confirm it in the product
Research finds the replays and the screen where it happens and writes the brief with the evidence attached.
Fix it, verify it
Build opens a PR behind a flag. Monitor watches the ticket cluster and reports when it drops.
Built for support and product together
Support sees the status
Every cluster links to its finding, its PR and its rollout, so support answers with facts.
Engineering reviews as usual
The fix is a normal pull request with tests, a preview and the tickets linked.
Not just bugs
Confusing copy, missing states and dead ends become design fixes, not tickets forever.
Closed-loop verification
A fix is done when the tickets stop, not when the PR merges.
Start from a prompt.
“Cluster the last 30 days of support tickets by product problem and rank by volume.”
Run this when my batch opens →“Customers say they can’t change a saved address. Find it in replays and propose a fix.”
Run this when my batch opens →Questions, answered.
Which support tools connect?
Zendesk, Intercom and Slack channels. Email inboxes can be forwarded.
Does it reply to customers?
No. It fixes the product and gives support the status. Replies stay with your team.
How is “fixed” measured?
Monitor watches the ticket cluster after rollout and records the drop in the run.
Stop running the business. Start directing it.
Join the waitlistPrivate beta. We onboard teams in small batches. Or contact us.