Clusters feedback into themesIngests uploaded CSV/doc feedback (e.g. app reviews, interviews) and groups it into feature requests, complaints, and loved features automatically.
Ask-AI chat over your feedbackLets you ask natural-language questions like 'what are customers most frustrated about' and returns grounded answers citing specific feedback.
Connects 35+ feedback sourcesPulls in app store reviews, support tickets, surveys, and social media, then sends recurring summaries to Slack and email.
Frequency-ranked complaint countsSurfaces how many users mentioned each issue (e.g. '13 people say the share button is hard to find') to help prioritize by volume.
Drafts Jira-ready user storiesGenerates a first-draft user story from clustered feedback and pushes it directly into Jira for the team to refine.
Summarized from 3 community tutorials · July 2026
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