Insights Unlocked

Episode web page: https://bit.ly/3Ys2J9d Episode description:  In this episode of Insights Unlocked, Phillip Jackson, CEO and co-founder of Future Commerce, joins the show to explore how commerce is fundamentally shaped by culture, not just technology. Phillip dives into how leading brands use AI in retail to enhance customer experiences quietly and authentically, why friction in the customer journey isn’t always a bad thing, and how brands can stand out in a sea of sameness. Key themes and takeaways Commerce is culture, not just tech. Phillip explains that what we buy and how we buy it are deeply tied to identity and culture. The smartest brands are those who see commerce as part of daily life, not just a transaction. The invisible hand of AI in retail. AI can transform retail experiences, but its best applications are often invisible. Using examples like Taco Bell, Phillip discusses how AI can quietly make things easier and more delightful for customers—without being intrusive. Friction’s hidden value. Not all friction is bad. While reducing unnecessary pain is important, Phillip argues that some friction helps customers make better decisions, reduces returns, and actually builds trust. Personalization: meaningful, not just flashy. True personalization goes beyond using someone’s name. Phillip suggests it’s about understanding intent and context, and that surface-level personalization often falls flat or feels invasive. Standing out from e-commerce sameness. E-commerce platforms have made shopping easier, but also more homogenous. Phillip shares research showing that when branding is stripped away, many sites are indistinguishable—and that differentiation is key to long-term loyalty. Clean data is your AI superpower. Brands that want to unlock the full power of AI need holistic, clean data. Phillip shares how brands like Kith leverage years of clean purchase data to launch ambitious customer programs. Invest in what matters. Rather than chasing every trend, Phillip encourages brands to focus on practical, high-value areas—like smarter search, better recommendations, and strong post-purchase support—that truly solve customer pain points. Resources & links Phillip on LinkedIn (https://www.linkedin.com/in/philwinkle/) Mike on LinkedIn (https://www.linkedin.com/in/mmcdowell1/) Nathan Isaacs on LinkedIn (https://www.linkedin.com/in/nathanisaacs/) Future Commerce website (https://www.futurecommerce.com/) UserTesting’s 2026 2026 State of AI in Retail Experiences Report (https://bit.ly/4sy3awg) Learn more about Insights Unlocked: https://www.usertesting.com/podcast

Episode web page: https://bit.ly/4jpvb55 Episode description: In this episode of Insights Unlocked, I flip the mic on two of the podcast’s regular co-hosts: Lija Hogan and Amrit Bhachu, both Principals of Experience Research Strategy here at UserTesting. Together, they dive into the evolving conversations they’re having with customers as we head into 2026. From the rise of AI to the expanding role of UX researchers, Lija and Amrit unpack what’s keeping experience teams up at night—and what’s inspiring them. They explore how researchers are experimenting with AI to optimize workflows, the importance of validating generative outputs, and the new expectations being placed on teams to demonstrate impact across the business. The episode also explores the shift toward conversational interfaces and the operational challenges of supporting research at scale. Topics covered: How AI is changing research and design workflows The “garbage in, garbage out” risk with AI and how to overcome it Why researchers must become stronger business storytellers Building cross-functional empathy through insights Voice, gesture, and multimodal experiences as the next UX frontier Why research ops is critical to scaling insights across the org Advice for validating AI-driven outputs before they go public Whether you’re a researcher, designer, or product leader, this episode will leave you with practical ways to experiment with AI and bring more human-centered thinking into your work. Resources & links Lija on LinkedIn (https://www.linkedin.com/in/lija-hogan-894769/) Amrit on LinkedIn (https://www.linkedin.com/in/amritsbhachu/) 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/3MWTjzQ Episode description:  In this forward-looking episode of Insights Unlocked, Mike McDowell returns to the mic to share what’s ahead for UserTesting in 2026—and it’s all about speed, scale, and smarter insights. Mike and host Nathan Isaacs dive into the latest developments in AI-powered research, from automated test creation and participant feedback to enhanced report generation and seamless integrations with tools like Figma. As always, Mike brings a ton of energy and clarity to what these innovations mean not just for researchers, but for anyone trying to get closer to their customers. Whether you're a product manager, designer, or marketer, this episode will leave you inspired by what’s possible when AI meets human insight. Key takeaways AI-enhanced test creation: Just type what you want to learn, and AI builds the test plan for you—making customer feedback more accessible to non-researchers than ever. New Figma plug-in: Beta users can now launch usability tests directly from Figma, without leaving the design environment. Automated insight generation: From smart analysis to video summaries and report creation, AI is speeding up the time from question to answer. Smarter screener tools: AI-powered fraud detection and screener guidance ensure better participant quality and more reliable feedback. Customer empathy at scale: Mike emphasizes the power of embedding customer videos in tools like Jira, Confluence, and Figma to build buy-in and challenge internal assumptions. Resources & links Mike on LinkedIn (https://www.linkedin.com/in/mmcdowell1/) Nathan Isaacs on LinkedIn (https://www.linkedin.com/in/nathanisaacs/) Learn more about Insights Unlocked: https://www.usertesting.com/podcast

Episode page: https://bit.ly/3KT962a As we head into 2026, design is no longer just about aesthetics—it’s about strategy, collaboration, and customer empathy. In this episode of Insights Unlocked, Nathan Isaacs sits down with Lacey Fabrizio, Principal Solution Marketing Manager at UserTesting, to discuss the major shifts happening in the design and product space. Lacey shares three key trends reshaping the field: Designers are moving upstream and playing a more strategic role in defining problems—not just polishing solutions. AI is becoming a powerful brainstorming partner, helping designers break creative patterns and explore new directions. Teams are adopting continuous, lightweight feedback loops to stay tightly connected to customer needs and avoid designing in the dark. Whether you're in design, product, or marketing, this conversation offers valuable insight into how to embrace these changes and design with more intention. What you’ll learn: How designers are gaining influence earlier in product development Why AI is most powerful as a creative collaborator The importance of fast, continuous user feedback to improve outcomes How these trends are shaping a more empowered, customer-first design culture Resources & links: Lacey Fabrizio on LinkedIn Nathan Isaacs on LinkedIn The 2026 Experience Survival Guide: scaling human insight across every team — This on-demand webinar explores how AI and connected workflows help teams gather and act on customer feedback faster, smarter, and at scale across UX, product, design, and marketing. How to enhance design efficiency through continuous user feedback — This guide shows how continuous user feedback helps designers move faster, make smarter decisions, and reduce rework by testing early and iterating often. How to transform your UX design process with continuous customer feedback — an Insights Unlocked episode about building continuous customer interview programs to support the product development life cycle. How design teams leverage user feedback in design to transform products — This blog post explains how user feedback bridges intention and real experience to elevate design outcomes and reduce costly revisions.

Episode web page: https://bit.ly/3KUDMzV Episode description: In this episode of Insights Unlocked, host Amrit Bhachu sits down with Mario Callegaro, founder of Callegaro Research and a leading expert in survey methodology and AI-augmented research. Mario brings a wealth of experience from his 15 years at Google and shares practical, thoughtful guidance on how to responsibly integrate AI tools into UX, market, and survey research workflows. From the evolving role of the researcher to the risks and potential of synthetic users, this episode unpacks what’s changing, what to be cautious of, and what skills are now essential in the age of AI. What you’ll learn How AI supports every phase of the research workflow: planning, execution, and activation The role of prompt engineering in getting better insights from AI tools Why synthetic users and synthetic data can't yet replace real human participants What researchers are gaining—and potentially losing—by relying on AI The current limitations of large language models in capturing nuance and variability Practical advice on testing and validating AI tools with known datasets Why transparency, iteration, and responsible experimentation are key Resources & links Mario on LinkedIn (https://www.linkedin.com/in/mcallegaro/) Amrit on LinkedIn (https://www.linkedin.com/in/amritsbhachu/) Callegaro Research (https://callegaroresearch.com/) Quantitative User Experience Association (https://www.quantuxcon.org/) There’s an AI for that (https://theresanaiforthat.com/) Mike on LinkedIn (https://www.linkedin.com/in/mikemace/) Nathan Isaacs on LinkedIn (https://www.linkedin.com/in/nathanisaacs/) Learn more about Insights Unlocked: https://www.usertesting.com/podcast