Many organizations nowadays invest in data and AI while overlooking the human side of it all. The result: users end up like Alice in Wonderland, dropped into an unfamiliar world full of possibility, with no idea which way to go. We design experiences that feel powerful in demos but confusing in real life.

In this session, we'll explore how decades of Human Computer Interaction research can help us design better AI agents in Copilot Studio. We'll draw on principles like the Blank Canvas Paradox, cognitive load, and mental models to understand what makes an interaction feel effortless rather than exhausting.

Using Microsoft's Human AI Experience (HAX) guidelines as a foundation, we'll translate psychological UX principles into practical Copilot Studio design patterns that can be applied immediately. You'll walk away with a practical toolkit for designing agents in Copilot Studio that are user friendly and effective.

Whether you're a maker, consultant, designer, or architect, this session will give you a practical framework for designing Copilot Studio agents people actually understand how to use. Let's give Alice some directions.

This session is intended for anyone who owns, designs or builds agents in Copilot Studio, and wants to create AI experiences that users actually return to. No technical background required, just curiosity about what makes humans tick when interacting with AI.