MENGENAI EPISOD INI
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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EPISOD LAIN DALAM PODCAST INI
We explore the dangerous illusion of synthetic research, where Kyle Soucy argues that LLM-generated users create a false confidence that masks bad decisions, while Emily Haines Lloyd warns that the influx of low-quality machine text is squeezing out the nuanced human work that actually resonates ...
We ask whether AI’s speed is actually improving our work or just shifting complexity to users who must now manage the "evaluation plumbing," as Patrick Neeman argues. Sophie Shrimpton warns that we’re risking a digital landfill of disposable interfaces by confusing fast design with tru ...
We examine the growing gap between AI’s expanding capabilities and our ability to control them, starting with Patrizia Bertini’s argument that recent safety incidents are inevitable results of prioritizing speed over structural integrity. This tension is mirrored in the community, where senior d ...
We’re facing a quiet shift where the bottleneck in design has moved from generation to curation, as Tanner Kohler argues that we’re losing value by manually managing stale context libraries while Hiroshi Sato urges us to design for ideas that don’t yet exist. This tension between managing chaos ...
We ask what remains of human judgment when machines handle the heavy lifting, a tension that forces us to move from passive reporting to strategic recommendation. We examine Dan Saffer’s six interaction models and Jim Lewis’s data on AI’s false alarms to argue that our durable value lies in filt ...
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