SOBRE ESTE EPISÓDIO
We explore the tension between speed and accuracy as Jim Lewis’s research reveals AI’s tendency to hallucinate usability issues, while Gale Robins warns against treating loud feedback as automatic instructions. We also examine how low-fidelity prototypes can erode user trust and why verifying data integrity remains a manual necessity despite our reliance on automated tools. This episode challenges the assumption that technology can replace human judgment in qualitative analysis.
From The Feed- Your Prototype Is Not Being Honest With Your Users (And Here’s How To Fix It) (hello@smashingmagazine.com (Eric Joseph L.)) — Low-fidelity prototypes break user trust, so high-fidelity interactions are needed to restore reality and valid data.
- Does AI Find Real UI Problems or Just Hallucinations? (Jim Lewis, PhD • Jeff Sauro, PhD • Will Schiavone, PhD • Lucas Plabst, PhD) — AI finds half the real usability issues but generates nearly as many false alarms, proving it cannot replace human judgment.
- Product discovery’s quietest, most consequential decision (Gale Robins) — Teams must filter feedback as hypotheses to test rather than automatic instructions to avoid solving the wrong problem.
- My tips for identifying potential participant scammers early (r/UXResearch) — Spotting fake participants via scripted answers and timezone mismatches is tedious but essential for data integrity.
- I analyzed all the posts on r/UXDesign for the month of April: (r/UXDesign) — Data visualization of community chatter reveals persistent friction points rather than just flashy trends.
- What are the best product feedback tools? (r/UXResearch) — Feedback tools fall into three buckets: AI analysis, structured portals, and behavioral signals, requiring human judgment for validation.
- Speed-to-lead is a solved problem — Ciaran Nolan
- AI and cognitive delegation: the hidden cost of AI that works too well — Elisa Viglianese
- Technical Writing in the AI Age — Geoff Graham
- AI & XR are made for each other 3: Reality as a Multi-Layered Canvas. — Avi Barel
- Whooshes, Snaps and Shaders: Adrien Vanderpotte and the Feeling of the Interface — Adrien Vanderpotte
- The AI revolution has made me grapple with my own strengths and weaknesses — r/UXDesign
- Designers using AI for UI/UX, what’s actually working for you? — r/UXDesign
- How do UX designers design their portfolio so effortlessly and effectively? — r/UXDesign
- Design Thinking workshop with engineers — r/UXDesign
- What are the best practices for setting line height for the text in a button? — r/UI_Design
- I've been building an app since February 2026. I just wanted to share my progress so far :) — r/UI_Design
- Juniors ask me anything about UX I'm the Sr Manager Product Design (Exp 10Yrs+) — r/UXDesign
About The Feed & The Thread
The Feed & The Thread is a daily summary of UX articles found in the industry and some light-touch updates from the UX Community found in online forums. It’s brief, and meant as a light-touch overview of what’s happening across UX.
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OUTROS EPISÓDIOS NESTE PODCAST
We ask why designers are still essential when AI can generate code in seconds, arguing that the answer lies in judgment rather than execution. Fabricio Teixeira and Nick Babich highlight how taste and decision rights are becoming the primary differentiators against AI’s sameness, even as tools like…
We ask whether treating AI as a shortcut for user research trades necessary depth for speed, noting that while synthetic users match broad conclusions, they miss the natural variation that reveals edge cases. Rachel Banawa’s work on homogenized AI responses contrasts with Wira Indra Kusuma’s argume…
We’re asking whether the line between designing and building is actually dissolving, or if we’re just shifting the burden of coordination onto product managers who were never hired for it. Nil Thyrion argues that design is becoming the primary differentiator as code generation gets easier, while Je…
We explore why repetition feels so comfortable, from Luke Wroblewski’s argument that intelligence is built on simple, repeated blocks to Dora Czerna’s warning that professional competence can trap us in stagnant routines. This tension between building a foundation and hitting a ceiling is mirrored …
We’re asking why our organizations are failing at AI adoption despite having the tools, arguing that the real friction lies in a cultural gap where staff see higher expectations rather than better working conditions. Paul Boag and Kate Agena highlight how ignoring personal benefit and treating know…
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