As AI capabilities expand and research teams stay lean, many researchers find themselves supporting hundreds, if not thousands, of colleagues in their organizations. For them, the model of centralized research is creating bottlenecks that slow decision-making and limit the reach of customer insights.<\/p>\n\n\n\n
“The fundamental shift that people have to make is that you’re no longer a data collector. You’re a data connector,” says Ari Zelmanov<\/a>, former police detective and current research leader. In Ari’s view, as teams get leaner and tools get better at executing research tasks, the job of the researcher becomes standing up repositories, socializing learning mechanisms, and creating the systems that empower organizations to act on good information.<\/p>\n\n\n\n