Hi %FIRSTNAME%,We recently ran a study with Typeform. They were spending a lot of time manually tagging feedback in their Zendesk tickets (thousands a month).They tried Autopilot on 1,725 tickets. It found 30% more feature requests than their live team, with 93% accuracy.Here's how:Any interest in seeing how they got those hours back?

Canny

Hi %FIRSTNAME%,We recently ran a study with Typeform. They were spending a lot of time manually tagging feedback in their Zendesk tickets (thousands a month).They tried Autopilot on 1,725 tickets. It found 30% more feature requests than their live team, with 93% accuracy.Here's how:Any interest in seeing how they got those hours back?

Canny

Hi %FIRSTNAME%,I keep hearing from PMs who've tried throwing their support tickets and Intercom exports into ChatGPT to find patterns, and the results are hit or miss. The data going in is messy, so what comes out doesn't always answer the question.Our fix: we use our own product, Autopilot, to capture and organize feedback automatically. Then we connect Canny's MCP server to ChatGPT and Claude to actually work with it.Want a quick look at the setup?

Canny