As AI accelerates execution speed, decision quality becomes the new limiting factor for modern organizations, making research more critical than ever. This session, led by Noel Gee from Maze, explores the necessary evolution of research in AI-native organizations: from a centralized service into the core system enabling continuous, organization-wide learning. Noel will share perspectives on why research is more essential than ever, how to democratize it without compromising rigor by operationalizing methodological expertise into scalable tools and workflows, and how researchers can transition from study executors to strategic leaders who own the learning systems shaping decision-making. Attendees will gain a framework for increasing research teams’ influence, scaling their impact, and remaining indispensable in the age of AI.

Session Sponsored by Maze

Maze empowers researchers to be change makers, turning research into a center of influence and customer insights into enduring competitive advantage. By bringing recruiting, testing, and analysis together, Maze helps organizations move from intuition to evidence, faster.

From researchers to designers and PMs, anyone can run studies that answer any question and drive better decisions at any altitude. Equipped with Maze’s research-grade AI, teams can focus on what matters most: understanding people, uncovering insights, and shaping change with confidence.

To learn more about Maze, check out our website at www.maze.design.