Know What to Build Next: A Hands-On AI Feedback Workshop

​Most teams aren't short of customer feedback. They're short of a way to turn it into a decision.

Tickets, reviews, sales calls, churn notes — it piles up in tools nobody reads, and the roadmap ends up set by whoever is loudest in the room.

Bring your own customer feedback. Any format, a spreadsheet, a support export, a pile of survey responses. We'll convert it and get it uploaded in the room, and you'll work on your own data instead of a demo set. No data with you? You'll build a 50-signal set with Claude in ten minutes.

From there: watch FeedFrwd rank what you brought by cost rather than complaint count, and trace a recommendation back to the evidence behind it. Then the part most workshops skip, finding out where the analysis is wrong.

You'll leave with three questions to put to any AI-generated analysis:
→ What is this based on?
→ What would have changed the answer?
→ Who is not in this data?

No code. Bring a laptop.

​About the host:

​Eva Kapitany is the founder and CEO of FeedFrwd.

​Most companies are not short of customer feedback. It arrives every day through support tickets, app reviews, sales calls, churn notes and surveys — and then sits in five different tools, unread. What reaches the roadmap is whatever the loudest person in the room remembers, or whatever complaint got repeated most often, which is not the same as what is costing the business the most.

​Eva spent twenty years on the other side of that problem: implementing enterprise systems, integrations and transformation programs, and most recently architecting and deploying a user listening system inside Microsoft's Customer Service and Support organization. She saw which listening systems got used and which got ignored, and why.

​She left Microsoft in July 2025 to build FeedFrwd — feedback intelligence that ranks by cost rather than count, and traces every recommendation back to the evidence behind it.