What factors drive success in consumer AI products?

Most answers emphasize delivering real value and solving user problems, with some highlighting trust, reliability, and purposeful design as additional keys to consumer AI product success.

9 answers

Answers

  • Sam Stephenson

    Founder · Granola

    Usefulness to Users

    Sam Stephenson says the important thing is making something actually useful to somebody and ensuring they get daily value from it, not just shipping, because building is so easy that builders must sweat details.

    Peter Yang · Watch on YouTube
  • Tamar Yehoshua

    Chief Product and AI Officer · Atlassian

    Focus on the Customer

    Tamar Yehoshua says to focus on the customer and what they can get out of it, since you have to figure out what's actually working for your customers.

    Lenny's Podcast · Watch on YouTube
  • Josh Elman

    Director of Product Management · Apple

    Benefit Humanity

    Josh Elman says the one thing he learned at Apple is that the industry must be grounded in building technology that benefits humanity, and that should guide choices.

    The answer starts at 29:46.

    Newcomer Podcast · Listen on Apple Podcasts
  • Brian McMullin

    Senior Vice President and Head of Product · Network Solutions

    Personalization, Context, Education

    Brian McMullin says the most effective approach is personalization, providing context, and educating actions, because users care more about the value AI provides than the technology behind it.

    The answer starts at 7:38.

    LaunchPod · Listen on Apple Podcasts
  • Jonathan Evens

    Product Lead · Google Deepmind

    Solving Pain Points

    Jonathan Evens says solving pain points is what matters, since building a great product means elegantly solving a real human problem and eliminating friction.

    Mind the Product · Watch on YouTube
  • Dilani Kahawala

    Co-Founder and CEO

    Reliability, Interface, User Education

    Dilani Kahawala says the three biggest challenges she's had to think about are reliability, the interface, and teaching users how to work with an agent, because consumers don't have patience for an assistant getting something wrong.

    Super Data Science: ML & AI Podcast with Jon Krohn · Watch on YouTube
  • Peter Deng

    General Partner · Felicis Ventures

    Trust

    Peter Deng says trust is the key factor for consumer AI products, asking who users trust with their data and whose answers they rely on.

    More or Less Podcast · Watch on YouTube
  • Jim Rosen

    Chief Product Officer · Mortgage Cadence

    Purposeful Outcomes

    Jim Rosen says the important thing is being purposeful about outcomes, not adopting AI for its own sake; AI without focus, structure and purpose just gets in the way.

    HousingWire · Watch on YouTube
  • Ravi Mehta

    Angel Investor · Traveljoy

    Craft and Taste

    Ravi Mehta says craft—how much a human can create what they're asking for—and taste—the creator's ability to judge what's good—are the two elements that go into the human's role in AI product building.

    Reforge · Watch on YouTube

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