UXchange

• When Not to Use AI

  Send us a textWelcome back to UXChange, I’m Jeremy — and today we’re talking about something I’ve been wrestling with personally: when should we actually use AI?We all love what it can do — speed, automation, magic. But at what point does using AI stop helping us think, and start replacing the thinking itself?In this episode, I share my personal heuristics for using AI at work — not as a researcher, but as a knowledge worker trying to stay effective, curious, and human in an AI-powered world. I unpack questions like:When is AI genuinely adding value, and when is it just noise?How much control are you willing to give away for efficiency?Where’s the line between delegation and disconnection?I’ll talk about why some tasks must stay human — especially those that shape your understanding, your craft, and your credibility — and how I’ve learned to decide where AI fits in my creative and research process.🎧 Listen now for a raw, reflective episode about the mindset, trade-offs, and self-trust we all need in this new era of AI-driven productivity.Support the show

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• From Vanity to Sanity: The Real Metrics Behind Trustworthy AI - Part 2

  Send us a textWelcome back to UXChange — this is Part 2 of our series on Measuring the User Experience of AI.In the first episode, we explored vanity vs. sanity metrics — the surface-level KPIs that look good on dashboards versus the deeper indicators that truly define trust, satisfaction, and control.Today, we’re going a step further. I’ll break down why we need a new approach to measure AI experiences, and why our traditional UX frameworks simply don’t fit anymore.If you’ve ever asked yourself “how do I even measure if my AI is working well?” — this episode will give you the foundation to start answering that question the right way.Support the show

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• From Vanity to Sanity: The Real Metrics Behind Trustworthy AI

  Send us a textIn this new series, we’ll dive deep into what it really means to measure the success of AI-enabled user experiences. Beyond surface-level KPIs and “vanity metrics,” we’ll talk about the sanity metrics that actually reveal whether your product is usable, reliable, trustworthy, and meaningful for real people.I’ll break down complex ideas like trust, perceived control, satisfaction, and holistic measurement in a way that’s practical for designers, researchers, and product teams.If you’ve ever wondered how to move from counting clicks to understanding confidence, or how to measure what truly matters in AI, this series is for you.Support the show

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• Uncovering the Unconscious in UX Research

  Send us a textIn this episode, I explore how much of user experience happens beneath the surface of awareness — and why tapping into the unconscious is essential for better product design. Why users often say one thing but do anotherThe limits of relying only on interviews or only on observationHow unconscious motivations, needs, and fears shape technology useThe power of co-creation and generative workshops to reveal hidden dimensionsPractical ways to integrate unconscious insights into product decisionsSupport the show

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• Predicting User Experience in the Age of AI

  Send us a textIn this episode I explore how product teams can better anticipate and measure user experience in a world where interaction patterns are shifting—from clicks and forms to voice and chat. Why AI is transforming the way users interact with technologyThe importance of treating design choices like “ingredients” in a recipeHow to build internal benchmarks to predict user experience outcomesLessons from AI tools like ChatGPT and the rise of “Generative Engine Optimization”Practical ways to align intended vs. actual user experience through experiment designSupport the show

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