When Data Disagrees: Earning Stakeholder Trust

When data challenges expectations, researchers can face skepticism from stakeholders. This session offers practical strategies for maintaining trust—even when results are unexpected. We’ll explore how to reduce the risk of unexpected findings through proactive planning, and how to confidently navigate tough conversations when data doesn’t align with preconceptions. Learn how to not only protect your credibility, but use these moments to strengthen it.

Story Haas is a Product Research Leader at Owens Corning, with over eight years of experience conducting cross-disciplinary research grounded in methodological theory. She holds a PhD in Sociology and Criminology, with past work spanning crime reform, financial market research, and predictive modeling for film success. Her career has centered on translating complex data into actionable insights for policymakers, executives, Fortune 500 clients, and academics, giving her  a unique insight on how to present to diverse—and critical— audiences.