FeedbackFlow

FeedbackFlow is an AI feedback triage tool for founders and small product teams. It captures customer feedback from your in-app widget, Slack, Intercom, and Zendesk, groups items into topics, merges duplicate reports, and ranks what matters most into a single prioritized list.

Instead of reading dozens of repeated notes to find the real problems, FeedbackFlow turns your incoming feedback into ticket-ready work. Each ranked topic carries the underlying reports behind it, so the engineering team can act with context—not just a vague summary.

From there, you can file any topic into Jira or Linear in one click, with the ticket title, problem summary, and acceptance criteria drafted by AI. You can also ask questions in plain English across your feedback corpus and get grounded, cited answers, plus see trends like volume and sentiment shifts over time.

What feedback sources does FeedbackFlow collect?

FeedbackFlow collects from an in-app widget (installed with one script tag), plus Slack channels and conversations in Intercom and Zendesk—so feedback from product and support doesn’t live in separate places.

How does FeedbackFlow reduce duplicates?

As feedback arrives, it groups it into topics and checks for duplicates, merging duplicates into a single topic so you get one ticket-worthy item instead of repeated reports.

How is priority determined?

FeedbackFlow ranks topics by priority based on the incoming feedback, so the list is organized by impact rather than who shouted the loudest.

Can I turn a topic into a Jira or Linear ticket?

Yes. You can file any topic to Jira or Linear in one click, with AI-drafted ticket title, problem summary, and acceptance criteria.

Do AI corrections improve future triage?

Yes. If you correct a topic or priority in the review queue, that correction is kept as an example and fed back into triage so the same kind of mistake is less likely to repeat.

What kind of answers can I ask using AI Q&A?

You can ask questions in plain English across your feedback, and answers are grounded only in your own notes with citations back to the exact feedback behind each claim.