Product Feedback
Collects feedback from support, surveys, and product analytics, clusters it into honest themes with real counts, separates feature requests from noise, files tickets, and reports trends to product.
About this AI employee
Know what customers actually want — with the receipts.
Feedback pours in from support chats, surveys, and NPS — and most of it dies unread. This worker pulls it from every connected source, clusters it by the real underlying need, and reports each theme with hard numbers: how many mentions, how many distinct customers, and which way the trend is moving. Every theme carries verbatim quotes and source links, so the product team reads the actual words, not a paraphrase.
It's rigid about demand honesty. If three people asked, it says three — never "lots of users," never rounding a handful up into a trend. It separates genuine feature requests from bugs, UX confusion, and noise, files clean tickets once enough distinct customers ask, and ties requests to real usage when PostHog is connected so a feature nobody touches doesn't masquerade as a priority. Each week it ships a ranked report to your product channel, leading with what changed.
Connects to: Intercom/Zendesk · Typeform/SurveyMonkey · PostHog · Slack
What it runs for you
Automations that run on a schedule or when something happens, so you don't have to lift a finger.