What is the most important factor in AI product success?

Sam Stephenson

Founder · Granola

Daily User Value

Sam Stephenson says the important thing is whether someone actually gets daily value out of it, not just shipping; he argues builders should hold themselves to that goal instead.

Marty Cagan

Partner · Silicon Valley Product Group

Problem Selection

Marty Cagan says product leaders' primary responsibility is product strategy—choosing which problems to solve—and their job is to pick the most important problems, then the team solves them.

Tamar Yehoshua

Chief Product and AI Officer · Atlassian

Customer Focus

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

Josh Elman

Director of Product Management · Apple

Doing One Thing Well

Josh Elman says a product has to do one thing really well out of the box, so that users either stop doing something else or turn more behaviors over to it.

The answer starts at 48:51.

JE

Jonathan Evens

Product Lead · Google Deepmind

User Empathy

Jonathan Evens says user empathy is essential for an AI product PM, meaning focusing on deep user problems and pain points and starting with the problem.

Srinivasan Raghavan

Chief Product Officer · Freshworks

Bolstering Workflows

Srinivasan Raghavan says the factor is bolstering the workflows users already have rather than bolting on AI capabilities, calling it a mentality shift between bolting and bolstering.

Ravi Mehta

Angel Investor · Traveljoy

Human‑Centered Design

Ravi Mehta says human-centered design—designing for the human, not the AI—is a really important principle, since AI is inert without humans.

FF

Faith Forster

Chief Maker · Discoveree For Product Leaders & Managers

Direct Customer Understanding

Faith Forster says direct customer understanding is what sets products apart, since relying too much on AI misses the gold nuggets and that understanding only comes from direct interaction.

Dianne Na Penn

Head of Product Management, Research · Anthropic

Hands‑On Involvement

Dianne Na Penn says being hands-on is important for managers working with AI: they must spend time shipping and in the details, because it's hard to see a good AI product without building one yourself.