What guides teams to build successful AI products?

Maya Keekattil

Chief Product Officer · Cin7

Focus on outcomes

Maya Keekattil says product teams should focus on outcomes rather than product output, noting that AI makes teams think by outcome and customers ask what outcome a product will give them.

The answer starts at 21:27.

Sam Stephenson

Founder · Granola

Daily user value

Sam Stephenson says builders should hold themselves accountable not just to shipping, but to whether someone actually gets daily value out of it, and not stop until they achieve that rather than the shipping goal.

Tamar Yehoshua

Chief Product and AI Officer · Atlassian

Focus on the customer

Tamar Yehoshua says you can't stay on top of everything you read, and advises product people to figure out what's actually working for their customers — so focus on the customer and what they can get out of it.

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Jonathan Evens

Product Lead · Google Deepmind

Focus on user problems

Jonathan Evens says product teams should keep user empathy and focus on deep user problems and pain points, starting with the problem, calling this essential for an AI feature or AI product PM.

Jeff Chow

Chief Product and Technology Officer · Miro

Focus on the why

Jeff Chow says product teams should focus on the why—why they are solving the problem—then the what and how, because those basic product lines do not change.

Oji Udezue

Author · Productmind

Judgment (taste at speed)

Oji Udezue says the scarce skill with AI is no longer building but judgment — what he calls "taste at speed" — which a PM must own and apply on top rather than ship AI slop.

Ravi Mehta

Angel Investor · Traveljoy

Design for the human

Ravi Mehta says product teams should design for the human, not the AI, asking what that person brings, what gaps they need to fill, and how the product fits into their life.

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Todd Olson

CEO / Founder · Pendo.Io

Open‑mindedness, experimentation, optimism

Todd Olson says the key soft skills are open-mindedness, experimentation and optimism, calling them the big ones to him. He argues this is a great time to experiment because AI systems can run many things and do a lot of work.

Mina Doroudi

Principal Product Manager · Microsoft

Focus on impact

Mina Doroudi says product teams should keep impact in mind and think big, warning that otherwise they get stuck in the weeds as new models keep coming out.

Itamar Gilad

Author, Keynote speaker, Coach · Product Front

Evidence‑driven, customer‑value focus

Itamar Gilad says teams should put customer value first, with evidence-driven roadmapping, faster analysis and more research done directly — the AI-empowered PM future he is betting on.

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Faith Forster

Chief Maker · Discoveree For Product Leaders & Managers

Focus on adoption

Faith Forster says AI changes the definition of done so it is now about adoption, arguing teams should work alongside customers to watch usage and fix friction because AI makes building and changing features quick and easy.

Dianne Na Penn

Head of Product Management, Research · Anthropic

First principles

Dianne Na Penn says teams should develop the skill of thinking from first principles about what they solve, and argues user-centric PMs who go deep into what users are trying to accomplish are still the core of product work.