Episode web page: https://bit.ly/4wqOtMn
Episode summary
In this episode of Insights Unlocked, UserTesting’s Mike Mace sits down with AI product strategist, UX thought leader, and UX for AI author Greg Nudelman to explore how AI is reshaping the role of UX and product professionals—and what teams need to do differently to build AI products that deliver real customer and business value.
Greg argues that simply using AI to work faster isn’t enough. As traditional UX tasks become easier to automate, the bigger opportunity is for UX researchers, designers, and product leaders to move upstream: uncover customer needs, frame the right problems, understand how AI systems work, and rapidly validate working concepts with customers. He shares his “snowball sprint” approach, where teams start small and continuously add capabilities only after validating that they’re solving the right problem.
The conversation also explores why speed can become a liability when teams rush into AI development without considering real-world consequences. Greg discusses the importance of evaluating ROI and risk before building, including his use of a value matrix to examine what happens when an AI system gets something right—or wrong. For AI products with increasingly consequential actions, customer-centered design and responsible product leadership become more important, not less.
Ultimately, Greg believes the companies that succeed with AI will be those that stay focused on customers and use the technology to empower people. For UX and product professionals, that means rediscovering their core strengths in empathy, problem-solving, discovery, and strategic thinking—and applying them to a new generation of AI-powered experiences.
You’ll learn:
Why UX professionals need to move beyond simply using AI to make existing workflows faster
How customer discovery and strategic problem framing become even more valuable as AI accelerates product development
Why Greg believes UX professionals should become AI product and relationship designers, not just interface designers
How the “snowball sprint” approach keeps customers involved throughout AI product development
Why teams should evaluate AI ROI, risk, and the consequences of incorrect outputs before they build
How rapid prototyping and real-world customer feedback can help teams avoid expensive AI product failures
What will separate the companies that succeed with AI from those that fall behind
Resources & links
Greg Nudelman on LinkedIn
UX for AI book
UX for AI website
Greg’s “Iceberg UX” post
Mike Mace on LinkedIn
Learn more about Insights Unlocked: usertesting.com/podcast
