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Setting up collaboration in an agile project with three Scrum teams
Effective collaboration between three Scrum teams requires a shared vision, alignment, transparency, knowledge sharing, and automation.
User Experience (UX) Design is craftsmanship that manifests itself in visible output: user research, usability tests, prototypes, wireframes, design systems, user flows, and detailed interfaces. In many organizations, the value of UX is measured by what is actually tested and delivered.
The rise of AI (Artificial Intelligence; e.g., Claude Design, Figma Make) is accelerating this development. Where developing concepts and variants was previously time-consuming, these steps can now be completed significantly faster. Generative and increasingly better implementation of AI in design tools makes it easier to visualize ideas and explore alternatives. As a result, the focus shifts from execution to consideration: not how quickly something can be made, but which solution is actually the right one.
This shift is not occurring because UX is becoming less important, but because the context in which we work has become more complex. Simple, repetitive tasks can often be supported by AI. It rarely revolves around a single interface or a single user group. It involves systems, processes, and diverse stakeholders with different interests. In that context, the real challenge lies not in developing screens, but in sharpening the problem and creating a shared direction.
Consequently, the role of UX is shifting increasingly towards facilitating the process. Co-creation, design workshops, and connecting users, business, and IT play a crucial role in arriving at widely accepted solutions. Designing screen concepts remains an important tool, but is increasingly becoming part of a larger whole. For UX designers, this means that the core of their work is becoming more visible. The ability to engage stakeholders, understand requirements, and reduce complex issues to their essence is becoming decisive.
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“The UX designer of the future spends less time on production and more on driving choices and creating alignment and the smart deployment of AI-driven Design Tools.”
This calls for a different way of working. Not by fully mastering all new tools, but by deploying them purposefully. By experimenting with (fixed) cases, following developments within clear frameworks, and consciously limiting exploration in time. This ensures the focus remains on solving the right problem, rather than on the tools themselves. UX does not disappear in a world where AI plays a larger role. On the contrary: precisely in complex organizations, the need for structure, direction, and coherence grows. AI accelerates the development process but simultaneously increases the importance of human judgment. Organizations that understand and embrace these shifts will find that UX issues do not diminish, but rather become more relevant.
Kevin Tai
UX Design Specialist