How do you incorporate user feedback into AI product development?

All answers emphasize direct user involvement—through interviews, observation, early releases, or engagement metrics—to inform and iterate on AI product development.

5 answers

Answers

  • Sam Stephenson

    Founder · Granola

    Ship Early to Users

    Sam Stephenson says his team ships stuff internally as quickly as they can and to small groups of friends and baby users very early, though they set a high bar for whether it actually works for people.

    Peter Yang · Watch on YouTube

  • Jonathan Evens

    Product Lead · Google Deepmind

    User Ratings & Engagement

    Jonathan Evens points to user ratings and engagement signals—copying answers, following recommendations, clicks, thumbs up, listening to the end—as extremely valuable, especially for the reinforcement learning from human feedback loop.

    Mind the Product · Watch on YouTube

  • Sachin Rekhi

    Course Creator · Reforge

    Summarizing Customer Interviews

    Sachin Rekhi says summarizing customer interviews is one of his user research skills, part of the research he does to inform product designs.

    Reforge · Watch on YouTube

  • Michael W.

    CEO · Choppity

    User Interviews

    Michael W. says he has been organizing more user interviews with his customers and users, because he needs to talk to them firsthand to understand what he should be building next.

    Mizko the Designer · Watch on YouTube

  • Faith Forster

    Chief Maker · Discoveree For Product Leaders & Managers

    Watch Users Use It

    Faith Forster says she has sat and watched users use her own product, making an update and having them refresh, and argues teams should work alongside customers by watching how they use the product rather than building only for them.

    Mind the Product · Watch on YouTube

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