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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