Meetup 13 - AI Heuristic UX Evaluations with a 95% Accuracy Rate
Detalhes
This month, we’ll dive into the article AI Heuristic UX Evaluations with 95% Accuracy, recently published by the Baymard Institute.
Link for the article: https://baymard.com/blog/ai-heuristic-evaluations
The text explores how AI systems are starting to detect usability issues with a level of consistency that rivals — and sometimes surpasses — human evaluators. Instead of replacing designers, this shift reframes our role: from manually spotting every friction point to interpreting insights, understanding context, and guiding product decisions with deeper clarity.
But this conversation goes far beyond tools. It’s about methodology, responsibility, and the future of design practice. On the one hand, AI-driven evaluations promise scale, speed, and accessibility, opening the door for more teams to test earlier and more often.
On the other hand, we face an industry eager to automate judgment, sometimes without questioning the cultural, ethical, and experiential layers that only humans can understand.
As designers, researchers, and makers, the real question becomes: what happens to UX practice when machines can see the problems — but not the meaning behind them?
Join us to discuss ideas, question assumptions, and collectively explore how AI might reshape the foundations of our work, all while practicing English in a relaxed, collaborative environment.