The podcast explores the role of AI in UX analysis, questioning its reliability and potential impact on UX professionals. Christian and Jamie Holst from Baymard Institute, share their insights on the accuracy crisis in AI-powered UX tools, revealing that many tools have accuracy rates ranging from 50% to 70%, which can lead to incorrect UX suggestions and decreased conversion rates. They emphasize the importance of documenting and demanding accuracy rates from AI tools, highlighting their development of UXRay, an AI-powered tool focused on accuracy. The discussion also addresses the risk of junior practitioners over-relying on AI, potentially hindering the development of essential UX skills and instincts.
Sign in to continue reading, translating and more.
Continue
