The AI builder stack has handed every designer and PM a dozen PhDs in their pocket. Data analysis, prototyping, coding—every role is now full-stack, and product velocity has never been faster. But one capability is still missing: rigorous, systematic customer research. Not the slow, six-week kind designed for a world where software took months to ship. Ned Dwyer makes the case that closing this gap is the highest-leverage move a product builder can make—showing how you can surface prior research, get guided to the right methodology, and run analyses with hundreds of customers overnight.