UX Spotlight

Userlytics

Welcome to UX Spotlight, the podcast where we delve into the fascinating world of UX research! Hosted by Userlytics, we uncover key insights, techniques, and trends shaping exceptional user experiences. Tune in for expert interviews, real-world case studies, and the latest in UX. Whether you're a pro or just starting out, UX Spotlight is your guide to creating user-centric digital experiences.

  1. Sep 18

    Beyond the Prompt: Why AI Needs Better Information Architecture

    Jorge is an information architect, author, educator, consultant, and speaker with nearly three decades of experience designing digital systems and experiences. He explains how information architecture extends far beyond websites, navigation menus, and sitemaps—and why its core purpose of helping people find meaningful paths to knowledge is becoming increasingly important as AI systems become another audience we design for. 🧠 What you will learn in this video: 🧭 What information architecture really means beyond navigation, menus, and website structures.🧠 How information architecture helps people make better-informed decisions and increases agency.🤖 Why AI systems introduce non-human actors into the audiences designers need to consider.✍️ Why better prompting cannot compensate for fragmented or poorly structured information.🏗️ How information architecture and context engineering work together behind AI-powered experiences.🚧 Why AI systems need clear boundaries, guardrails, and carefully selected context.💬 Why chat interfaces are powerful—but not appropriate for every product or interaction.🖥️ What today’s AI chat interfaces have in common with old command-line interfaces.Audio Chapters: 0:00 Why Better AI Needs Better Information 1:01 Meet Jorge Arango 2:51 What Is Information Architecture Today? 6:32 Information Architecture Beyond Websites 8:17 Three Revolutions in Digital Information 8:46 Information Architecture and Human Agency 12:29 How Information Creates Agency 15:52 Why Better Prompting Isn’t Enough 16:19 AI Interfaces vs. Traditional Navigation 20:00 Designing Boundaries and Guardrails for AI 22:04 Context Engineering and Information Architecture 22:53 What Users Don’t Know to Ask AI 23:35 Are Chatbots Becoming the New Command Line? 28:35 Information Architecture, AI Trust, and Transparency 29:16 Making AI Systems More Understandable 31:21 Structuring Information for Better AI Outcomes 33:33 Designing AI With Purpose 34:59 Quick-Fire Round 35:24 More Data or Better Context? 37:11 Are Chatbots Here to Stay? 39:26 One AI Buzzword Jorge Would Retire 42:18 Final Thoughts 42:47 Where to Find Jorge Arango 43:06 Closing the Episode Resources & Links: 🔗 Explore Userlytics and start improving your digital experiences: https://www.userlytics.com?utm_source=youtube&utm_medium=video&utm_campaign=ux_spotlight_jorge_arango🎙️ Discover more UX Spotlight conversations: https://www.userlytics.com?utm_source=youtube&utm_medium=video&utm_campaign=ux_spotlight_jorge_arango🔗 Learn more about Jorge Arango and his work: https://jarango.com🔔 Subscribe for more conversations about UX research, information architecture, AI, product design, and the future of digital experiences: @Userlytics#UXSpotlight #InformationArchitecture #AIUX #UXDesign #Userlytics

    Beyond the Prompt: Why AI Needs Better Information Architecture
  2. Jul 27

    The “Empowered Team” illusion and the Post-Figma Reality

    The conversation also explores product management theater, AI-ready design systems, and Roger’s experiment using Claude Code to generate a functioning interface directly from the BuildOps design system. He explains why Figma may become less central during the middle of the design process, why designers are increasingly working directly in code, and what junior designers and product leaders should learn as AI reshapes product development. 🤖 What you will learn in this video: 🧩 Why many “empowered” product teams are still constrained by organizational dependencies and competing priorities.🔗 How fragmented ownership can create inconsistent experiences across different product modules.🎨 What Roger learned about craft, critique, and refinement while working at Apple.👥 Why visibility into other teams’ work matters as much as communication.🎭 What “product management theater” looks like inside modern software organizations.🧱 Why design systems are becoming critical infrastructure for both product teams and AI agents.🤖 How weak documentation and inconsistent components can cause AI-generated interfaces to fail.💻 How Roger used Claude Code to generate a working product interface from an existing design system. Video Chapters: 0:00 Introduction to Roger Wong 1:27 The Central Question: Does AI Accelerate Bad Products? 2:22 Designing for Consumer Products vs. B2B Software 4:14 Working With Steve Jobs at Apple 6:46 Using AI to Accelerate Design Exploration 7:28 The Meaning of Craft in Product Design 8:06 Apple’s Culture of Critique and Refinement 10:46 What an Empowered Product Team Should Mean 11:08 Why Product Teams Are Not Truly Empowered 14:40 How to Organize and Empower Design Teams 17:19 Communication, Visibility, and Cross-Team Coordination 18:07 What Is Product Management Theater? 21:09 Why Design Systems Matter More Than Ever 23:27 Design Systems for AI-Generated Interfaces 24:54 Roger’s Claude Code Experiment 25:44 Generating a Working Interface Without Figma 29:05 Is Figma Becoming Less Relevant? 31:33 Quick-Fire Round 3 3:31 The Most Overused AI Feature in B2B Software 34:07 Lessons From Working With Steve Jobs 35:02 The Design Principle Roger Won’t Compromise On 35:42 What Junior Designers Should Learn Now 36:34 The Product Buzzword Roger Would Remove 38:15 One Action Product Leaders Should Take Now 39:27 Where to Find Roger Wong 39:56 Closing the Episode Resources & Links: 🔗 Explore Userlytics and start improving your product experiences: https://www.userlytics.com?utm_source=youtube&utm_medium=video&utm_campaign=ux_spotlight_roger_wong🎙️ Discover more UX Spotlight conversations: https://www.userlytics.com?utm_source=youtube&utm_medium=video&utm_campaign=ux_spotlight_roger_wong🔗 Learn more about Roger Wong and his work: https://rogerwong.me🔔 Subscribe for more conversations about UX research, product design, AI, and the future of digital experiences: @Userlytics#UXSpotlight #ProductDesign #DesignLeadership #AIUX #Userlytics

    The “Empowered Team” illusion and the Post-Figma Reality
  3. Jun 19

    The "Feature Factory Trap": Build Products People Actually Want - With Laura Klein (2026)

    Stop building things nobody wants! Learn how to escape the dangerous Feature Factory mindset and focus on real user validation with UX expert Laura Klein. Are your agile teams obsessed with shipping features without validating if they actually solve real user problems? In this episode of UX Spotlight, host Denis Cristea is joined by Laura Klein, Principal Experience Specialist at NN/G and author of Build Better Products and UX for Lean Startups. With over 30 years of experience, Laura unpacks the dangerous "Feature Factory" mindset and explains how to align cross-functional engineering and product teams around real human impact. 🧠 We discuss the modern obsession with speed—amplified by AI tools—that causes teams to ship unfit features faster without closing the loop on user value. Laura shares real-world corporate stories revealing the devastating financial cost of bypassing proper user validation. We also break down how to strike the perfect balance between quantitative analytics (knowing what is happening) and qualitative research (diagnosing why it’s happening). 📊 Finally, Laura reveals her strategies for making UX research a collaborative team sport. Discover why true consensus isn't built by presenting a slide deck, but by involving your entire team in synthesizing user feedback so everyone naturally aligns on the right path forward. 🤝 What you will learn in this video: 🏭 What the Feature Factory is and why the obsession with speed (and AI) leads to shipping unfit features. 💸 The real-world cost of bypassing user validation, including stories of lost revenue and wasted years. ⚖️ How to balance quantitative analytics with deep qualitative research. 🧑‍💻 Collaborative strategies to involve engineers and product managers in analyzing user data. 🎯 Why user researchers must focus on de-risking the riskiest assumptions rather than chasing perfection. Video Chapters: 0:00 Introduction: Meet Laura Klein 1:54 What Defines the Feature Factory Mindset? 3:37 The Obsession with Speed vs. True Validation 5:23 Why Any Research Speeds Up Your Process 8:16 The Billion-Dollar Cost of Bypassing Research 12:04 Balancing Quantitative and Qualitative Data 15:36 Handling Leadership Pushback on Release Dates 20:10 Focus on De-Risking Your Riskiest Assumptions 22:33 Making UX Research a Collaborative Team Sport \26:22 The Upsides and Downsides of AI in Research 29:55 Quickfire Round: Design Thinking & UX Hills to Die On 34:22 Final Advice: Start Conducting Project Post-Mortems 36:05 Where to Find Laura Klein & Outro Resources & Links: 🔗 Explore Userlytics Research Tools: https://www.userlytics.com?utm_source=youtube 🔔 Subscribe for more UX Insights: @Userlytics 📘 Learn more about Laura Klein & NN/G: https://www.nngroup.com #Userlytics #FeatureFactory #UXResearch #UserValidation #ProductManagement #LauraKlein #AgileTeams #BuildBetterProducts #UXDesign #ProductStrategy #UserExperience #ResearchOps #designthinking

    The "Feature Factory Trap": Build Products People Actually Want - With Laura Klein (2026)
  4. May 19

    AI Product Development Done Right: Why "Fail Fast" Breaks Product-Market Fit — with Debbie Levitt

    “Fit” Episode Summary In this episode of UX Spotlight, Denis and Debbie dive into concepts from her latest book, Atomic Product-Market Fit.They discuss how the tech industry has glorified “failing fast” and “vibe producting,” and why companies need to refocus on delivering true quality and value.Debbie explains that Product-Market Fit is not just a big-picture achievement; it is won or lost at the Macro, Meso, and Micro levels.The conversation explores the reality of AI in product development, including where AI can genuinely help as a critical-thinking partner and where it can work against teams when used to replace real user research or domain expertise.The discussion gives UX practitioners and PMs actionable insights on how to align deep customer-centricity with the KPIs the business actually cares about: conversion, retention, and growth.Guest Bio Debbie Levitt is the CXO of Delta CX, where she works as a CX/UX Strategist, Researcher, Service Designer, and change agent.She has decades of experience reconnecting companies with their target audiences to boost satisfaction and growth, and was recently awarded a US patent for an automated research recruiting system.Debbie is the author of several books, including Customers Know You Suck, Life After Tech, and her newest release, Atomic Product-Market Fit.Based in Sardinia with her husband and a pack of mutts, she also enjoys singing symphonic prog goth metal in her spare time.

    AI Product Development Done Right: Why "Fail Fast" Breaks Product-Market Fit — with Debbie Levitt
  5. Apr 21

    The Human Side of UX Research

    🚀 Scale your research with deep, human-centered insights. Visit Userlytics today: https://www.userlytics.com In this episode of the Userlytics Podcast, host Denis Cristea and Dr. Kenya Oduor tackle a growing tension that research and product teams face: how to ensure the human element is not engineered out of research as AI tools promise faster and more scalable insights. Dr. Oduor brings a blend of operational practicality and academic rigor from her background in human factors and industrial engineering. The discussion moves beyond the hype of AI, focusing on the practical shifts that happen when these tools are integrated into actual workflows. What You’ll Learn: How to distinguish between "lean" AI-assisted efficiency that improves research and "lazy" shortcuts that erode data validity.Practical approaches to handling the "Black Box" dilemma when using synthetic users and AI-generated personas.The importance of understanding the origins and cultural context of AI data to avoid building products for a limited population.Why building empathy and establishing rapport with research participants are critical human skills that AI cannot simulate.Real-world examples of how to safely accelerate workflows, such as generating standard operating procedures from deeply researched human insights.Key Takeaway: "One thing that researchers overthink is thinking that AI will replace UX researchers[...]There are some things that we do that cannot be replicated such as having empathy and the ability to empathize with others." — Dr. Kenya Oduor About the Guest: Dr. Kenya Oduor is the CEO and Founder of Lean Geeks. With a PhD in Human Factors and Industrial Engineering, she brings a rare combination of academic rigor and hands-on operational thinking to her work. She has been a founder for nine years and draws on an extensive career in industry, consulting, and academia. Her guiding principle is that the goal of research is deeper understanding, not just better data. About the Host: Denis Cristea is the host of UX Spotlight by Userlytics, a podcast where UX professionals share the stories and thinking behind digital experience research. With a background in media, content production, and UX-focused storytelling, Denis brings a conversational and practical lens to discussions about research, insights, and impact. Subscribe & Follow: UX Spotlight by Userlytics features conversations with UX researchers, designers, and industry experts exploring how research shapes better digital experiences. New episodes are released monthly. Follow Userlytics on LinkedIn, X, and Instagram, and subscribe on YouTube and your favorite podcast platform to stay up to date.

    The Human Side of UX Research
  6. Mar 19

    Scaling Accessibility in Enterprise UX: Moving Beyond the Checklist

    UX Researcher, Accessible Product Designer, and author Stéphanie Walter brings over a decade of experience designing complex enterprise products across industries like banking, automotive, and healthcare. In this episode, we explore what it truly takes to scale accessibility inside large organizations and turn good intentions into standard practice. The discussion stems from the reality that, according to Stéphanie, accessibility must move from a simple WCAG compliance checklist to a company-wide discipline. From her early career lessons to her ongoing consulting work, Stéphanie unpacks how teams often exclude users by believing they "don't have users with disabilities. She shares practical methods for embedding accessibility into everyday design processes and explains why understanding the broad spectrum of disability is crucial for modern enterprise teams. What you’ll learn: Why treating accessibility as a simple checklist fails and how starting small builds momentum.Practical ways to include disabled people in usability research rather than just using them for technical QA testing.Why the myth of "we don't have disabled users" is a dangerous misconception that ignores the broad spectrum of disabilities.Building allies across development and QA teams to make accessibility part of the "definition of done".Concrete daily practices for designersAnd more!Key Takeaway “I think you need to go beyond checkboxes and people need to understand it's not about doing the checklist of WCAG... start somewhere, just start. It might be scary, but someone needs to kickstart the movement.” — Stéphanie Walter, UX Researcher & Accessible Product Designer Listen Now Tune in to this episode of UX Spotlight by Userlytics to learn actionable methods and mindset shifts for building enterprise products that work for everyone at scale. [Listen on YouTube] About UX Spotlight by Userlytics UX Spotlight by Userlytics features conversations with UX researchers, designers, and industry experts exploring how research shapes better digital experiences. New episodes are released monthly. Follow Userlytics on LinkedIn, X, and Instagram, and subscribe on YouTube and your favorite podcast platform to stay up to date.

    Scaling Accessibility in Enterprise UX: Moving Beyond the Checklist
  7. Jan 20

    Turning Answers Into Insights: How Research Drives Better Business Decisions

    Description: In the opening episode of the new season of UX Spotlight by Userlytics, host Denis Cristea sits down with Vivian Pinto, Consumer Understanding Specialist, to explore one of the most critical — and often misunderstood — aspects of UX and research work: transforming raw data into insights that truly influence business decisions. This conversation goes beyond dashboards, percentages, and surface-level findings. Denis and Vivian unpack what real insights look like, why they matter, and how researchers can bridge the gap between data, human behavior, and meaningful business action. Drawing from real-world examples and modern AI-supported workflows, this episode offers practical guidance for UX researchers, analysts, and anyone working with data-driven decision-making. Topics Covered: What truly defines an “insight” — and why not every statistic qualifiesMoving beyond dashboards and percentages to uncover real user tensionsCommon mistakes teams make when interpreting research resultsThe importance of objective-setting and bias awareness in researchHow AI tools support (but do not replace) human insight generationWhen broad research is useful versus when custom user studies are neededHow insights influence product, strategy, and business decisionsUsing storytelling to turn research findings into action Podcaster Bio: Denis Cristea Denis Cristea is the host of UX Spotlight by Userlytics, a podcast where UX professionals share the stories and thinking behind digital experience research. With a background in media, content production, and UX-focused storytelling, Denis brings a conversational and practical lens to discussions about research, insights, and real-world impact. Guest Bio: Vivian Pinto Vivian Pinto is a Consumer Understanding Specialist with more than 10 years of experience in consumer research, social listening, and insight generation. She has worked across industries and methodologies, helping organizations uncover behavioral truths and translate them into actionable strategies. Her recent work focuses on digital research and AI-supported insight analysis, combining technology with human judgment to guide better decision-making. YouTube Link: https://youtu.be/bIjVfyIg6Sc

    Turning Answers Into Insights: How Research Drives Better Business Decisions

About

Welcome to UX Spotlight, the podcast where we delve into the fascinating world of UX research! Hosted by Userlytics, we uncover key insights, techniques, and trends shaping exceptional user experiences. Tune in for expert interviews, real-world case studies, and the latest in UX. Whether you're a pro or just starting out, UX Spotlight is your guide to creating user-centric digital experiences.