Something on the Scanners, Captain
UX Research
Design Process
AI platforms can now analyze heatmaps, scroll depth, session recordings, and click patterns before a single formal test is scheduled. Usability issues that used to hide until a researcher caught them in a lab are surfacing earlier and more consistently. For teams managing large products with limited research bandwidth, that's a real operational shift.
The limitation worth understanding: automated tools reliably catch structural and technical problems. What they miss consistently are the contextual ones - ambiguous labels, navigation patterns that feel logical on paper but confuse real people, interactions that work correctly and still feel wrong. A heatmap tells you where people stopped. It doesn't tell you why. A drop-off in scroll depth is a signal, and the meaning behind it is a separate question entirely.
The teams getting the most out of predictive research treat it as a screening layer - catching obvious friction early, prioritizing what needs deeper investigation, and protecting researcher time for the work that actually requires judgment.
The scanners picked something up. The away team still has to beam down and investigate.