Insights Unlocked

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

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In this episode of Insights Unlocked, Nathan Isaacs talks with media futurist and author Jack Myers about how leaders can embrace AI without outsourcing the distinctly human qualities that drive better decisions, stronger customer relationships, and meaningful experiences. Drawing from his book Your Third Brain, Jack explores how human intelligence and machine intelligence can work together to expand what people are capable of—not replace human thinking.

Jack argues that one of the biggest risks of AI isn’t simply that machines are getting smarter, but that people may begin outsourcing judgment, curiosity, creativity, memory, and discernment to them. He explains the concept of the “third brain”: an intelligence that emerges when human experience, intuition, values, empathy, and imagination combine with AI’s speed, scale, knowledge, and ability to recognize patterns.

The conversation also explores what the media industry’s decades of technological disruption can teach today’s product, marketing, UX, and CX leaders. Jack warns against gaining efficiency at the expense of the customer relationship, particularly as organizations increasingly turn to AI, synthetic research, and automated customer interactions.

Nathan and Jack discuss why real human feedback remains essential even as AI becomes better at predicting behavior. Synthetic customers can help explore possibilities and prepare better questions, Jack says, but real people provide the context, emotion, contradictions, and unexpected insights that can reveal whether an organization is solving the right problem in the first place.

Finally, they explore empathy as a practical leadership skill and how organizations can reinvest the time AI saves into listening, curiosity, creativity, and deeper human understanding. Jack encourages leaders to define the human outcome before choosing the technology—and to measure not only productivity, but also trust, well-being, and whether technology is strengthening or diminishing human capabilities.

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Episode web page: https://bit.ly/4hjhw0g

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In this special episode of Insights Unlocked, host Nathan Isaacs sits down with CEO Eric Johnson and Chief Marketing Officer Johann Wrede to introduce Auros, the new parent brand for UserTesting, and explore why the company is expanding its focus as AI reshapes how products and experiences are built.

Eric and Johann explain why the UserTesting name no longer captured the full scope of the company’s ambitions. While UserTesting and User Interviews will continue serving the research, UX, and insights communities, Auros reflects a broader mission: bringing human intelligence into the development, training, testing, and evaluation of AI. They also share the story behind the Auros name and why the company believes its network of more than 7.5 million people can play a larger role in an AI-enabled world.

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

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In this episode of Insights Unlocked, host Jennifer Artabane talks with Ranjitha Kumar, UserTesting’s Chief Scientist, and Jason Giles, UserTesting’s Vice President of Customer Intelligence, about a question that becomes more important as AI makes it easier for anyone to create: How do you know whether what you’ve created is actually good?

Ranjitha and Jason explore the increasingly important role of human expertise, taste, craft, and judgment in an AI-powered workplace. They discuss why powerful AI tools can produce very different results depending on the expertise of the person using them, and why knowing how to interrogate, critique, and improve AI-generated work matters as much as knowing how to generate it.

The conversation also examines AI’s ability to quickly get teams from zero to 80%—and why the remaining 20% may become a critical source of differentiation. Ranjitha and Jason share how leaders can help the next generation develop judgment without using AI to bypass the experiences that build expertise, and why curiosity, critique, experimentation, and uniquely human perspectives will remain essential as AI reshapes how we work.

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

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In this episode of Insights Unlocked, Mike Mace, Director of Solution Marketing at UserTesting, talks with veteran product leader, author, and executive coach Rich Mironov about what AI-powered development really means for product teams—and why dramatically faster coding doesn’t automatically translate into better products, happier customers, or more revenue.

Rich argues that as AI removes engineering constraints, the bigger challenge becomes deciding what is actually worth building. He explores the risks of “cognitive surrender,” where teams equate faster output with better outcomes, and explains why product management, UX research, customer discovery, business judgment, and taste become more important—not less—as organizations gain the ability to build at unprecedented speed. He also challenges the growing enthusiasm for synthetic users, warning that plausible AI-generated feedback can reinforce what teams already believe rather than uncover the unexpected insights that emerge from conversations with real customers.

The conversation also examines why “10x coding speed” won’t produce 10x revenue, how AI shifts bottlenecks from engineering toward customer adoption and go-to-market execution, and why product managers may need to become more “barbell shaped”—spending more time understanding meaningful customer problems at the front end and turning products into business results at the other. Rich also shares ideas from his book Money Stories, including why product teams need to communicate the financial value of their work in language executives understand.

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

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In this episode of Insights Unlocked, host Jason Giles talks with Roger Wong, former Head of Design at BuildOps and an independent design consultant whose career spans Apple, Microsoft, Samsung, and startups, about what AI is (and isn’t) changing about product design. 

Roger says that while AI can dramatically accelerate how teams research, prototype, and build, the fundamentals remain the same: understand the customer, solve the right problem, and use strong judgment to turn insights into better outcomes.

Drawing on his work at BuildOps, Roger shares how his team stays close to commercial contractors and field technicians to uncover problems AI alone can’t see. He describes how observing technicians in their real working environments led to an AI-powered visit summaries feature that lets technicians dictate notes after a job, reducing the burden of typing after a long day in the field. The lesson: customers may not be asking for AI—they want reliable products that solve real problems, and trust has to be earned before teams introduce more ambitious AI experiences.

Roger and Jason also explore how AI is reshaping the design process itself. Faster prototyping can tighten customer feedback loops and improve collaboration with engineers, but generating more output doesn’t necessarily create a better product. Roger discusses why teams need to measure outcomes rather than velocity, why people must take ownership of AI-generated work, and why craft, empathy, systems thinking, and judgment are becoming even more important as AI tools become widely available.

The conversation closes with a challenge for design and product leaders: treat AI as a new design material and experiment with it firsthand without abandoning the foundational skills that make great designers great. Roger also raises an emerging concern for the profession—how junior designers will develop those skills and judgment if AI increasingly takes over the “grunt work” that traditionally helped early-career designers learn their craft.

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

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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.

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

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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.

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

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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.

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

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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.

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

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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.

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