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.
