
In this episode of Inside UXR, Drew and Joe dive into the complexities of researching AI-based products. They explore how AI research differs from traditional UX research, from recruitment challenges and user biases to the importance of trust and accuracy in AI-generated outputs. They also discuss why diary studies and co-design sessions are particularly effective for understanding AI adoption. Whether you’re testing a new AI feature or a fully AI-driven product, this episode will help you navigate the unique challenges of researching AI.Send us a textSupport the showSend your questions to InsideUXR@gmail.comVisit us on LinkedIn, or our website, at www.insideUXR.comCredits:Art by Kamran HanifTheme music by NearbysoundVoiceover by Anna V
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44. How do I prepare for a UXR job interview?

43. How do I tell a good story in my readouts?

42. How do I maximize non-traditional data sources?

41. What ethical considerations should I be thinking about?
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