Designing for uncertainty: UX research methods for probabilistic systems

This workshop explores how UX research needs to evolve for AI systems that don’t behave predictably. Through practical methods like scenario-based testing, failure-mode mapping, and real case study examples, participants will learn how to design and research products where the same input doesn’t always lead to the same result. It also shows that AI research doesn’t have to be intimidating or a barrier to entry. It’s still research, just approached differently.

This session is for experienced UX practitioners who are working with AI or moving into it, and want practical ways to research and design for systems that don’t behave predictably.