Insights Unlocked

Episode web page: https://bit.ly/4gt1TTy

Episode summary:

In this episode of Insights Unlocked, Nathan Isaacs sits down with UserTesting Chief Scientist Ranjitha Kumar and Vice President of Customer Intelligence Jason Giles to explore how AI is reshaping the product development lifecycle—and what happens when the traditional boundaries between designers, engineers, and product teams begin to blur.

Ranjitha and Jason discuss how AI is making it easier for people to move beyond their functional lanes, from designers building working prototypes to engineers taking a more active role in design. But greater access to the tools doesn’t eliminate the need for expertise. As building becomes faster and cheaper, they argue that craft, judgment, decision-making, and understanding what customers actually need may become even more valuable.

The conversation also explores how teams can use AI to accelerate experimentation and learning without simply creating more things, why human feedback remains critical as organizations test new AI experiences, and where AI still falls short. Ranjitha and Jason also weigh in on AI slop, agentic AI and guardrails, and why teams should stay mindful about where AI genuinely improves their work—and where it may actually slow them down.

You’ll learn:

How AI is blurring the traditional boundaries between design and engineering

Why expertise and craft still matter when anyone can create prototypes and code

How AI could enable smaller, more collaborative product teams

Why faster execution makes decision-making and customer understanding more important

How teams can turn faster prototyping into faster learning and experimentation

Why AI won’t necessarily accelerate every part of the product development process

How human judgment, guardrails, and customer feedback can help teams use AI responsibly

Resources and links

Ranjitha Kumar on LinkedIn (https://www.linkedin.com/in/ranjithaskumar/)

Jason Giles on LinkedIn (https://www.linkedin.com/in/jaygiles/)

Nathan Isaacs on LinkedIn (https://www.linkedin.com/in/nathanisaacs/)

Learn more about Insights Unlocked: https://www.usertesting.com/podcast

Episode web page: https://bit.ly/4qpHthC

Episode summary:

In this episode of Insights Unlocked, Lija Hogan chats with Nick Cawthon, founder of Gauge and a veteran UX researcher, designer, and strategist, about what happens to UX research when AI makes it dramatically faster and easier to build digital experiences.

Nick explains why speed alone isn’t a competitive advantage. As AI accelerates prototyping and product development, teams need the humility to test, iterate, and make sure they’re solving the right problems—not simply moving faster in the wrong direction. That makes human insight and strategic research more important, not less.

The conversation explores where AI can create meaningful efficiencies in research, from transcription and tagging to indexing qualitative data, and where Nick believes humans should remain firmly in the loop. He also shares how researchers can make insights more accessible across an organization, demonstrate their connection to business outcomes, and evolve from gatekeepers of research into educators and strategic partners.

Finally, Nick offers advice for researchers thinking about the future of their profession: learn the new tools, invest in human connection, and make yourself indispensable by becoming the connective tissue between customers, product teams, designers, engineers, and business leaders.

You’ll learn:

Why faster product development makes human insight even more important

How AI can help teams prototype, test, and iterate at greater speed

Where AI can eliminate tedious research work—and where human connection still matters

Why researchers need to look beyond tactical usability questions to the broader customer experience

How research repositories can make customer insights more accessible to leaders and teams

Ways UX researchers can connect their work to business outcomes and product metrics

Why human connection and cross-functional influence can help researchers future-proof their careers

Resources & links

Nick Cawthon on LinkedIn: https://www.linkedin.com/in/nickcawthon-ux-digital-agency-product-design-leadership/

Gauge: http://Gauge.io

Nick Cawthon’s website: http://nickcawthon.com/

Lija Hogan on LinkedIn: https://www.linkedin.com/in/lija-hogan-894769/

Learn more about Insights Unlocked: https://www.usertesting.com/podcast

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

Episode web page: https://bit.ly/4hS9ls9

Episode summary

In this episode of Insights Unlocked, Rachel Blackburn sits down with Marc Majers, Head of User Research at Progressive Insurance, UX educator, author, and host of the UX Pathways podcast, to explore what separates great user experiences from merely functional ones.

Drawing on more than two decades in UX, Marc shares how empathy, curiosity, and continuous learning have shaped his career—and why understanding people remains the foundation of effective design, even as AI rapidly transforms the industry.

Marc discusses how UX professionals can thoughtfully integrate AI into their workflows without losing sight of the human perspective, why organizations should view UX as a strategic business advantage rather than a design function, and how speaking the language of business helps teams demonstrate measurable impact. He also offers his perspective on synthetic users, the future of AI-powered experiences, and why testing should become an organization's default mindset.

The conversation wraps with an unexpected look at the parallels between UX and Marc's work as a wedding DJ, revealing how both disciplines rely on understanding human behavior, anticipating needs, and designing experiences that keep people engaged.

You'll learn:

Why empathy and curiosity remain the most important skills in UX—even in the age of AI

How UX professionals can adopt AI thoughtfully without replacing human judgment

Practical ways to communicate the business value of UX to executives and stakeholders

Why continuous testing creates better products and stronger organizational cultures

How synthetic users can complement—but not replace—real customer research

Why the future of UX depends on balancing technological innovation with human-centered design

What designing great digital experiences has in common with keeping a wedding dance floor full

Resources & links

Marc Majers on LinkedIn: https://www.linkedin.com/in/mmajers/

UX Pathways: https://www.uxpathways.com/

Rachel Blackburn on LinkedIn: https://www.linkedin.com/in/racheleblackburn/

Learn more about Insights Unlocked: https://www.usertesting.com/podcast

Episode web page: https://bit.ly/4besnoH

Episode summary

AI can summarize customer feedback in seconds—but can it truly understand what customers mean? In this episode of Insights Unlocked, Jason Giles sits down with Chui Chui Tan, cultural strategist, founder of Beyō Global, and author of Research for Global Growth and International User Research, to explore why the biggest challenge in AI-powered customer research isn't analyzing data—it's interpreting it.

Drawing on nearly two decades of experience conducting research across more than 50 markets, Chui Chui explains why themes like "trust," "convenience," and "it's too expensive" can mean entirely different things depending on cultural context. She argues that while AI excels at identifying patterns, human researchers remain essential for uncovering the motivations behind those patterns and translating them into better business decisions.

The conversation explores how global teams can avoid costly misinterpretations, why translation alone isn't enough for international research, and how slowing down at the right moments can lead to more accurate insights—even in an AI-driven world.

You'll learn:

Why AI has shifted the research bottleneck from synthesis to interpretation

How cultural context changes the meaning behind common customer feedback

Why recurring themes aren't the same as actionable customer insights

How to uncover the real drivers behind comments like "it's too expensive" or "I don't trust it"

Why translation alone can't capture cultural meaning in global research

A practical framework for moving from AI-generated signals to better business decisions

How research teams can build simple checks into AI-assisted workflows to avoid costly mistakes

Resources & links:

Chui Chui Tan on LinkedIn: https://www.linkedin.com/in/chuichuitan/

Beyō Global: https://beyo.global/

Research for Global Growth: https://www.amazon.co.uk/Research-Global-Growth-Strategies-Cross-Cultural/dp/1068601701

Chui Chui Tan on YouTube: https://www.youtube.com/@chuichuitan

Jason Giles on LinkedIn: https://www.linkedin.com/in/jaygiles/

Learn more about Insights Unlocked: https://www.usertesting.com/podcast