AI UX
Navigator
Designing with AI isn’t just new—it’s transformational.
A resource hub for UX leaders navigating AI-driven transformation. Get practical tools and frameworks for designing adaptive, ethical, and human-centered AI experiences
AI is changing how products behave. UX must change how we design
Traditional UX wasn’t built for probabilistic systems, adaptive interfaces or trust calibration.
AI UX Navigator bridges this gap with frameworks and tools drawn from real-world transformation experience.
The 4 critical shifts for AI UX transformation
UX isn't simply evolving—it's fundamentally shifting. Effective AI implementation requires coordinated transformation across four dimensions that together form an integrated system.
These four interdependent shifts—Strategic, Research, Design, and Collaboration—form the foundation of modern AI UX leadership.
Shaping the shift
Practitioners across diverse roles each play a part in shaping the future of AI UX. This playbook equips you with the tools to lead that transformation.
Designing studies for adaptive systems and trust
Creating interfaces that reflect uncertainty and learning
What you'll find here
Structured resources to help teams navigate mindset shifts, design patterns, and organizational adaptation
LEADERSHIP
Ready-to-use frameworks, assessments, and exercises to ground the work in daily practice
READINESS
The Four Shifts framework provided exactly the structure we needed to align our UX and AI teams around shared goals. It's transformed how we approach AI feature development.
– Director of Product Design, Enterprise Software
Finally, practical guidance that goes beyond theory. The ready-to-use templates saved us weeks of trial and error.
– UX Research Lead, Fintech Startup
Join the AI UX community!
Everyone is navigating AI UX for the first time—there’s no established playbook.
By sharing insights, challenges, and practices, we’re co-creating the guide we all need.
Contribute Your Experience:
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How is your team designing with AI?
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What new workflows have you tried?
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What’s working—and what isn’t?
