UX - The User Experience Podcast – Détails, épisodes et analyse

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UX - The User Experience Podcast

Jeremy

Business & Entrepreneuriat

Arts

Éducation

Fréquence : 1 épisode/14j. Total Éps: 82

Help me improve the show: https://forms.fillout.com/t/txqbF3seyNus

Welcome to the User Experience Podcast, the podcast where we (ex)change experiences! I am a firm believer that sharing is caring. As we UX professionals are all aspiring to change User Experiences for the better, I have put together this podcast to accelerate learning and improvement! In this podcast, I will: Share learning experiences from myself and UX professionals, answer most common questions and read famous minds.

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Using An App To Get Off Your Phone, And The Research That Says AI Is Affecting Our Brain

mercredi 22 avril 2026 • Durée 38:45

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📱 Bond — The Social Media App That Wants To Cure Your Doom-Scrolling — TechCrunch

Bond launched this week as a social media platform explicitly designed to get you off your phone — no infinite feed, no algorithmic scroll, just a spatial view of what your friends are up to and activity recommendations based on your interests
The core bet: remove the vertical feed and you remove the addictive pattern — the app gives you ideas for real-world activities, you go live them, you get off the app
I haven't tested it, but I have a lot of thoughts
First: using an app to get off your phone is paradoxical — your phone is still your phone, and everything else addictive is still on it
Second: removing the feed doesn't remove social comparison — seeing what friends are up to, peeking at their memories, knowing they got a promotion — that's still there, and social comparison is one of the more reliably damaging patterns in existing platforms
Third — and this one I can't let go: end-to-end encryption is described as "a priority for us in the near future after launch" — meaning right now, the team can see your data — storing data securely is not the same as private data
The monetisation path is also unresolved — licensing user data to AI companies and product recommendations with merchant commissions are both on the table
My honest read: the intent seems genuine, but the medium is still a phone, the social comparison patterns are still present, and the privacy foundations aren't there yet

🧠 Concerns Grow That AI Is Damaging Users' Cognitive Abilities — Futurism

MIT researchers split 54 participants into three groups — ChatGPT, Google search, and own knowledge only — and measured brain activity via EEG during essay writing tasks
Students using ChatGPT consistently underperformed at neural, linguistic, and behavioural levels — and got lazier with each consecutive essay
Brain activation in areas corresponding to creativity and information processing was significantly lower — and participants struggled to recall or quote their own AI-written essays
This connects directly to cognitive surrender — the University of Pennsylvania finding I covered in an earlier episode — where people predominantly chose to use the chatbot even when they didn't need to
My take: there are always trade-offs, and if you don't know them, you're still making them — taking the car everywhere instead of walking has a physical cost; outsourcing your thinking has a cognitive cost
The question isn't whether to use AI — it's which tasks should stay yours: framing a research problem, deciding what questions to ask, writing the first draft of your own ideas — these are the muscles that atrophy fastest
The concept from UX that keeps coming to mind: learned helplessness — users who stop trying because they've been trained to feel that the tool, or in this case they themselves, can't do it without help
The constant I'd advocate for regardless of how AI evolves: keep thinking, keep practising critical judgment, keep owning the reasoning — the human brain is shaped to do this, and it needs the exercise

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How To Stay Sane With AI, Claude Design Launches

mardi 21 avril 2026 • Durée 20:24

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🧠 How To Approach AI And Stay Sane — UX Collective

Julia Kockbeck's article as a QA engineer frames the AI adoption question better than most: it's not use it or don't — it's knowing when, why, and what you're trading off
The trifecta that never goes away: speed, quality, and scope — if you keep scope constant and push for speed, quality takes the hit, whether you're aware of it or not
Two failure modes to avoid: overuse without critical thinking (copy-pasting AI output, blindly trusting agents) and AI reservedness (not using it at all and being left behind by people who do)
We still don't have solid heuristics for when to use AI — we're building them in real time, and most people are doing it unconsciously
What I think is uniquely human in UX research: moderating interviews, framing a problem with a stakeholder, deciding what questions to ask and why — AI can draft, but it cannot think before the draft
The measure that actually matters: is the output at least the same? And has the spread of your activity shifted from repetitive tasks toward more strategic thinking? If yes, that's already a win
My approach: AI is my collaborator, not my substitute — I use it to generate a quick script or research plan, then I review, complete, and own it

🎨 Anthropic Launches Claude Design — TechCrunch

Claude Design lets you create prototypes, slide decks, presentations, and design systems from prompts — Figma's stock dropped on the news
I haven't used it in depth yet, but my honest first take: it's genuinely useful for people who aren't designers but need a starting point — researchers, PMs, anyone who needs something that looks considered without hiring a designer
That said, the pattern I keep running into with prompt-only design tools: generating something looks amazing in minutes, but making one small change is a nightmare
What I'm really watching for: can you tweak it manually after generation? Can you apply a design system and have it hold? Can you export to PPT or Figma and continue from there?
It's not competing with Figma in the way the headlines suggest — Figma is a collaboration and precision tool, Claude Design appears to be a generation tool — different jobs, different users

UX and AI Digest Episode 2

Saison 2 · Épisode 2

mardi 24 mars 2026 • Durée 26:25

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Evaluating AI Agents, Claude's Computer Access & Prompt-Only Enterprise Software

🔬 EVA — A Framework for Evaluating Voice Agents

I hadn't realised we lacked a proper evaluation framework for voice agents — this one from Hugging Face caught my attention
What I like: it combines two dimensions I've always thought should go together — accuracy (task completion, faithfulness, speech fidelity) and experience (conciseness, conversational flow, turn-taking)
My question: is the "experience" side actually measured with real end users, or just by the designers?
This connects to a three-step evaluation model I keep coming back to: define your ingredients, evaluate internally, then validate with users — and compare the gap
I'll dedicate a full episode to this, but the short version is: if you want to elicit trust or satisfaction, you need to know which product attributes actually produce those outcomes

🤖 Claude + Cowork — AI With Access to Your Computer

Cowork now lets you authorise Claude to access your files and folders so it can act on your behalf even when you're away
I'm genuinely torn — amazed by the technology, but uncomfortable with the direction
My concern isn't the capability itself, it's the pattern: LLMs arrive, and suddenly we open the gates to everything — recording, transcription, computer access — as if these things naturally belong together
My rule of thumb: always assume your data is being used to improve the product — if you have doubts, assume yes
I'd love to see more push for private, self-hosted LLMs — but the honest tension is that commercial ones will keep winning on convenience because they have more data to train on
It's not even apples to apples — and that's what makes this hard

🖥️ Aragon — What If Enterprise Software Was Just a Prompt?

Startup Aragon raised $12M at a $100M valuation to replace enterprise tools like Salesforce, Jira, and Tableau with a single LLM interface

UX and AI Digest Episode 1

Saison 2 · Épisode 1

lundi 23 mars 2026 • Durée 27:00

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UX Digest | EP. 1 — Google Stitch, Microsoft's AI Rollback & the Rise of AI Note-Takers

In this episode of UX Digest, I react to three stories at the intersection of AI, product design, and user experience research — sharing my perspective as a UX researcher working daily with AI-driven tools.

🎨 Google Stitch — "Vibe Design" Goes Mainstream

Google's AI-powered UI design tool is making waves, but is it really a Figma killer? UX design cannot be reduced to the tool you use — Stitch handles maybe 5–10% of what a real UX designer does. Useful? Yes. Disruptive? Not sure.

🪟 Microsoft Dials Back Copilot — The "Less Is More" Lesson

Microsoft rolled back AI integrations across Windows 11 — photos, widgets, notepad, and more — following consumer pushback against what's being called "AI bloat." I reflect on why this keeps happening: technology gets deployed before user needs are validated. A reminder that AI doesn't automatically create value just because it's everywhere.

🎙️ AI Note-Taking Devices — Convenience vs. Privacy

From credit-card-sized recorders to AI pendants and earbuds, the market for ambient transcription hardware is growing fast — alongside software tools like Fireflies, Granola, and Notion AI. I raise a question worth sitting with: why does recording someone feel more acceptable in 2026 than it did a decade ago? And what are we losing cognitively when we stop taking notes by hand?

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When Not to Use AI

mardi 14 octobre 2025 • Durée 38:21

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Welcome 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.

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

jeudi 9 octobre 2025 • Durée 21:00

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Welcome 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.

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From Vanity to Sanity: The Real Metrics Behind Trustworthy AI

mercredi 8 octobre 2025 • Durée 16:20

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In 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.

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Uncovering the Unconscious in UX Research

mardi 16 septembre 2025 • Durée 26:32

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In 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 another
The limits of relying only on interviews or only on observation
How unconscious motivations, needs, and fears shape technology use
The power of co-creation and generative workshops to reveal hidden dimensions
Practical ways to integrate unconscious insights into product decisions

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Predicting User Experience in the Age of AI

mercredi 10 septembre 2025 • Durée 17:25

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In 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 technology
The importance of treating design choices like “ingredients” in a recipe
How to build internal benchmarks to predict user experience outcomes
Lessons from AI tools like ChatGPT and the rise of “Generative Engine Optimization”
Practical ways to align intended vs. actual user experience through experiment design

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Your AI Metrics Could Be Lying to You: The Vanity vs Sanity Problem in UX Measurement

jeudi 4 septembre 2025 • Durée 17:28

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I break down the difference between vanity metrics (what looks good) and sanity metrics (what actually matters), plus the new measurement challenges when users collaborate with AI instead of just using a product. Essential for anyone designing or evaluating AI features.

Topics:

Why traditional UX metrics fail with AI systems
The dangerous difference between vanity and sanity metrics
How collaboration changes everything we measure
Essential metrics you're probably missing

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UX - The User Experience Podcast – Détails, épisodes et analyse

Détails du podcast

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