2027 Speaker Archives - UX Copenhagen https://uxcopenhagen.com/category/2027-speaker/ Denmark's most inspirational Human Experience event! Thu, 12 Nov 2026 21:11:18 +0000 en-US hourly 1 https://uxcopenhagen.com/wp-content/uploads/2021/11/cropped-cropped-BG-logo-1-32x32.png 2027 Speaker Archives - UX Copenhagen https://uxcopenhagen.com/category/2027-speaker/ 32 32 Prof. Dr. Anna Lea Dyckhoff https://uxcopenhagen.com/prof-dr-anna-lea-dyckhoff/ Thu, 12 Nov 2026 19:07:49 +0000 https://uxcopenhagen.com/?p=3733 People facing a problem tend to choose the most obvious solution, and with AI, these solutions are now generated even faster and appear perfectly crafted. It’s much faster to use AI to gather data and create a persona than to laboriously discuss it as a team. You don’t even need to have “UX” in your job title to do this. We need more people who question this new pace, don’t shy away from experiments, research, and verify whether the assumptions are correct. Where does the learning process fit into efficient processes?

As teachers, we ask ourselves: What do our students need to learn, and how do people learn these days? I mostly mentor students in the “Digital Innovation and Business” bachelor’s program. This program covers many topics and skills typically associated with a UX professional, such as user research, problem-solving skills, some design, creativity, data analytics, project management, communication skills, and so on. Nevertheless, we don't know what kinds of roles our students will end up in. I sometimes tell them that this program equips them with the approaches tools they need to create their own future jobs.

The post Prof. Dr. Anna Lea Dyckhoff appeared first on UX Copenhagen.

]]>
Dr. Dyckhoff speaker at UX Copenhagen 2027
Can UX be understood as a mindset for dealing with uncertainty and change?
 
Many of the jobs we will have in a few years may not exist yet. AI is changing not only how we work, but also what it means to learn, understand, and develop expertise. Research can be summarized instantly, ideas produced on demand, and customer journey maps generated automatically. But what happens when we start removing the human process that happens along the way?
 

“In my work with students, I see how much learning happens when things are not quite so smooth: when interdisciplinary project teams encounter uncertainty, disagreement, unexpected user feedback on unfinished prototypes, or ideas that simply do not work as expected.”
 

When experiments fail and teams struggle, they encounter something that is impossible to generate instantly with AI: diverse perspectives, the emotions of real conversations, the need to negotiate what matters, and the challenge of finding alignment. Through this process, they gradually develop judgment about what meaningful outcomes might be.
 

This talk explores where efficiency creates real value, and where a little friction, uncertainty, and even slowness in the process help us understand what we are actually trying to solve. Because sometimes the messy process is not standing in the way of the solution. It is part of the solution.
 

If UX is primarily a set of deliverables, AI can produce many of them remarkably quickly. If UX is an approach to understanding, learning, and navigating uncertainty, the process becomes more important, not less.
 
Dr. Dyckhoff is a professor at the FH Aachen University of Applied Science, where she teaches Customer Experience. She has an extensive background in UX, having worked both as in-house UX Lead, and as a freelance consultant since completing her PhD.
 
 
TICKETS ARE AVAILABLE HERE: https://uxcopenhagen.com/tickets

The post Prof. Dr. Anna Lea Dyckhoff appeared first on UX Copenhagen.

]]>