What practice helps achieve product-market fit for AI products?

Most answers emphasize close interaction with users—through interviews, observation, or early releases—as key to achieving product-market fit and rapid adoption for AI products.

5 answers

Answers

  • Sam Stephenson

    Founder · Granola

    Ship early to small users

    Sam Stephenson says his team is encouraged to ship stuff internally as quickly as possible and to small groups of friends and baby users very early, but holds a high bar for whether it works before releasing often.

    Peter Yang · Watch on YouTube

  • Tamar Yehoshua

    Chief Product and AI Officer · Atlassian

    Focus on the customer

    Tamar Yehoshua says the practice is to focus on the customer and what they can get out, because you have to figure out what actually works for your customers.

    Lenny's Podcast · Watch on YouTube

  • Michael W.

    CEO · Choppity

    User interviews

    Michael W. says he has been organizing more user interviews with customers and users, because he needs to talk to them firsthand to understand exactly what to build.

    Mizko the Designer · Watch on YouTube

  • Todd Olson

    CEO / Founder · Pendo.Io

    Engineering mindset

    Todd Olson says an engineering mindset—attacking what AI does poorly and iterating to make it better—is the mentality that drives results.

    DataFramed · DataFramed · Listen at 34:45

  • Faith Forster

    Chief Maker · Discoveree For Product Leaders & Managers

    Working alongside customers

    Faith Forster says the practice that helps is working alongside customers, watching how they use the product and where the friction is, and improving it, since AI now makes features quick and easy to change so shipping is about adoption.

    Mind the Product · Watch on YouTube

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