Artificial intelligence is moving quickly from curiosity to everyday tool. Product teams, analysts, consultants, and executives are experimenting with it across research, writing, coding, decision support, and more. At the same time, many companies building AI products are struggling to understand what users truly need. Usage metrics tell part of the story. User feedback forms tell another. Social media reactions add noise. Internal testing helps, but it rarely captures the r

Most teams treat the “opportunity space” like it’s a chart you can fill in with the right research. Field the surveys, conduct the...