How does AI adoption change defining and measuring product success?

Maya Keekattil

Chief Product Officer · Cin7

Customer Outcomes

Maya Keekattil says AI shifts product success from product output to focusing on customer outcomes, because AI makes us think by outcome.

The answer starts at 21:27.

Ravi Mehta

Angel Investor · Traveljoy

Worth Shipping

Ravi Mehta says AI made building software much cheaper, so the job shifts from deciding what's worth building to deciding what's worth shipping — his answer to how success is now defined.

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Jonathan Evens

Product Lead · Google Deepmind

Model Capabilities

Jonathan Evens says that in the GenAI world, defining and measuring product success means defining and measuring the core model's capabilities, such as factuality, long context and reasoning.

Pete Johnson

Field CTO, Artificial Intelligence · MongoDB

Workflow Acceleration

Pete Johnson says AI changes how product success is measured by focusing on workflow acceleration: success metrics should be how much an existing process is sped up by automating workflows, rather than adoption counts or lines of code.

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Faith Forster

Chief Maker · Discoveree For Product Leaders & Managers

Adoption and Usage

Faith Forster says AI changes the definition of done, so it's now about adoption rather than shipping to production, and teams should work alongside customers watching how they use the product.