Why Product Teams Struggle Despite More Customer Feedback

​AI has made building faster than ever. So why are product teams less confident in what they're shipping?

​The bottleneck has shifted. It's no longer how to build — it's what to build first. Despite more customer data and AI tools than ever, most product teams are drowning in feedback they can’t turn into decisions.

​After leading and scaling product functions at companies like Amplitude, Zendesk, Notion, Stripe and Google, John Cutler and Birkan Icacan have seen how even the most sophisticated product organizations struggle to turn customer feedback into clear product decisions.

In this session, they unpack why modern product teams struggle to turn growing volumes of customer feedback into clear product decisions.

• ​Why speed without signal is a trap: Shipping faster without better judgment just burns through wrong bets faster

• ​The single-player intelligence problem: When every PM builds their own AI-powered feedback silo, the org gets collectively dumber

• ​Why your quarterly VoC review is broken by design: Customer context is a living thing, not a static archive

• ​The shift from information to intelligence: Moving beyond "what are the top complaints?" to "what should we build next?"

​If your Product org is navigating feedback overload and AI transformation, you'll leave with a named problem, a clear mechanism, and a practical framework you can apply Monday morning.