About
Since our inception, AI UX Navigator has been focused on bridging the gap between theoretical AI knowledge and real-world 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 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 strategists and 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 an AI strategist with a background in organizational transformation, systems thinking, and design. I help teams move from AI experimentation to confident, responsible implementation—aligning intelligent technologies with real workflows, cultural dynamics, and strategic goals.
My work spans AI adoption strategy, workflow redesign, and capability-building. I specialize in diagnosing readiness, mapping where AI fits (and where it doesn’t), and guiding change in a way that builds trust, momentum, and long-term value.
AI UX Navigator was created to support that journey—offering grounded tools, methods, and case studies for teams navigating the shift to AI. The initiative reflects my broader focus: helping organizations not just use AI, but design better systems around it.
