UXR shifts to research-in-the-loop with AI coding agents

The author argues that as AI coding agents drastically lower the cost and speed of software releases, traditional upfront user experience research must adapt into a continuous approach called research-in-the-loop. This practice involves building research instrumentation alongside product features using AI-generated specifications, enabling teams to combine rapid quantitative tracking with targeted qualitative investigations. Open article →