In the second post of a six-part series on user experience research for AI-native teams, author and researcher at The Voice of User argues that user knowledge enters AI-native teams at five specific m…
A new economic model explains why user research keeps losing to AI-native teams, according to a series by an unnamed author on LinkedIn. The model shows that AI agents collapse the time between mockup…
The Voice of User has launched a searchable library of 369 agent skills for UX research, compiled from 66 collections, with 86 entries identified as mirrors, forks, or aliases. The library, created by…
A self-published book, 'AI-Powered UX Research: Run Research at the Speed Your Team Actually Needs', hit number one in User Experience & Usability on Amazon within days of its July 15th Kindle release…
AI can now write high-quality survey questions, commoditizing the front end of research. However, the real problem is that AI also produces convincing but flawed interpretations of data, leading to de…
AI tools remove friction from research tasks, but that friction also served as an invisible quality gate where errors were caught. As toil disappears, so does the examination that rode on it, leaving …
A systematic review of 182 studies on LLM-generated synthetic participants found that the AI models lack genuine cognitive processes, causal reasoning, and subjective emotions, producing responses tha…
A new AI-driven calibration tool aims to fix the broken customer satisfaction (CSAT) scale by replacing vague numerical ratings with anchored, relatable experiences like "mild food poisoning" for a 1 …
Researchers studying AI agents that make purchasing decisions on behalf of users found that standard user research methods produce misleading results because they measure the human user's preferences …
A LinkedIn user questioned why user research teams claim to conduct hundreds of AI-moderated interviews per week, prompting analysis that such volume is not for gaining deeper insight but for producin…