AI has removed the friction that once forced teams to define coherent structures, leading to what Patrick Neeman calls a "Winchester Mystery House" of isolated features. We examine this velocity-versus-structure trade-off alongside Lucas Plabst’s findings that participants may withhold critical insights from AI moderators, threatening the validity of our data. Finally, we confront the dangerous shortcuts in our field, from synthesizing survey responses to using high-fidelity tools that prematurely lock in exploratory ideas.
