Workshops
Our workshops are designed with you in mind. They combine the cutting edge expertise of some of the world’s leading UX experts with the same high quality that people love about Rosenfeld Media’s UX books and conferences.
Service Designers as AI-Readiness Leaders: Orchestrating Change Across the Organization
with Erika Flowers
8 hours over 2 days: June 22-23, 2026, 8:00am-12:00pm PT
In this interactive workshop, NASA Digital Service alum Erika Flowers shows how service designers can lead their organizations through AI readiness: the process of aligning people, processes, and systems before technology enters the scene. Drawing from Erika’s AI-Readiness in a Box framework, participants will leave with a practical toolkit, facilitation materials, and the confidence to position service design as the engine of organizational AI transformation.
AI for UX Researchers
with Llewyn Paine
8 hours over 2 days: June 23-24, 2026, 8:00am-12:00pm PT
UX researchers are experiencing increasing pressure to use generative AI in their workflows. But while commercial tool vendors champion AI as a cure-all for research woes, the academic literature–and in-depth, real-world evaluation–tell a more nuanced story.
In this workshop, you’ll learn a framework for vetting AI capabilities, practice it with cutting-edge AI tools, and discover opportunities to evolve the role of research in this new world.
Designing for AI: New Techniques
with Dan Saffer
8 hours over 2 days: June 30 – July 1, 2026, 8:00am-12:00pm PT
This workshop will be teaching a handful of new techniques that designers, product managers, and researchers can take back and start using immediately. The workshop will be short lectures to introduce a technique, then exercises working with the method hands-on.
Designing AI to Make Users Smarter
with Chris Noessel
8 hours over 2 days: June 30 – July 1, 2026, 1:00-5:00pm PT
AI is full of promise for users, but it introduces risk as well. The two we’ll talk about in this session are over-reliance and deskilling. Over-reliance is when users trust an AI’s output too much. Deskilling is when users lose skills they previously had, but handed off to the AI; with implications not just for users but for labor relations as well. The good news is that you as a designer can do something about each of these. Come hear Christopher Noessel introduce the problems, share examples, and walk us through the patterns we can implement to help take some of the sting out of AI.
