About
Since our inception, AI UX Navigator has been focused on bridging the gap between theoretical AI knowledge and real-world UX practice
AI is not just another layer of technology—it changes how products behave, learn, and evolve over time. This introduces new patterns of interaction, new expectations, and new responsibilities.
Traditional UX practice was built on predictability: designers could anticipate needs and shape clear, linear experiences. But AI systems are dynamic. They adapt based on data, context, and interaction. This requires a shift in how we approach research, design, and cross-functional collaboration.
Our perspective
Designing for AI means moving from defining fixed paths to shaping responsive systems. It involves creating experiences that are transparent, explainable, and grounded in trust—even when outcomes are uncertain.
AI UX isn’t about mastering every technical detail. It’s about rethinking our role as designers: collaborating across disciplines, designing with ambiguity, and evolving the practices that help teams build meaningful, human-centered AI systems.
This transition is already underway. Teams that invest in these new capabilities are not just adapting—they're shaping how AI becomes part of everyday life.
Why this resource exists
While there's no shortage of technical AI resources or high-level UX principles, many UX leaders are in need of practical implementation guidance that bridges theoretical understanding with day-to-day operations.
This initiative was born from personal experience. As a UX leader with both research expertise and transformation experience, I observed teams struggling with the same challenges:
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How do we adapt our research methods for AI's probabilistic nature?
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What concrete process changes will help designers embrace uncertainty?
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How do we build effective bridges between UX teams and data scientists?
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What specific metrics should we use to evaluate AI experiences?
AI UX Navigator aims to fill that gap, providing actionable frameworks, templates, and processes that transform theoretical understanding into practical implementation.
Founder
Marianne van Ooij
I’m a UX leader with a background in organizational transformation, systems thinking, and research. I’ve worked across complex environments to help teams navigate change thoughtfully and effectively.
AI UX Navigator was created to support that same journey—bringing clarity to a fast-changing landscape, and offering practical ways for teams to integrate AI into design without losing sight of what matters most: the people we’re designing for.
This initiative is part of an ongoing effort to explore, document, and share approaches to responsible and effective AI UX leadership.