
Early in the evening it was clear: attendees hadn't come for small talk – they came for real conversation. Designers, product thinkers and tech professionals spoke directly about project challenges, new ways of working and the influence of AI on everyday design practice. The atmosphere was constructive, open and shaped by the quality of the questions being asked.
The evening's clear theme: AI meets UX. We contributed two talks – one on inclusive design powered by AI, and one on how Lean UX helps us work better in an increasingly AI-shaped product world. Both perspectives ultimately converged on one central question:
How do we design digital experiences that genuinely help people – and make a tangible difference for businesses?




AI & Inclusive Design: breaking down barriers with artificial intelligence
'You only see barriers when you're affected by them yourself.' With this statement, Stefanie Braun, Senior UI Designer at 21TORR, opened her talk on inclusive design with AI. She showed just how complex the trade-offs between simplicity, accessibility and technical feasibility are in practice – and where AI is already enabling concrete improvements.
One example: Conversational Search. For some user groups it's a convenience feature – for people with motor impairments, it's an essential gateway to digital services.
The decisive shift, however, is structural: AI isn't just changing individual features – it's changing the model by which interfaces are built. Instead of static layouts, dynamic interfaces emerge that adapt to users in real time.
For designers, this means: not defining a final layout, but defining design spaces. Rules, parameters and logic determine what is variable and what stays constant.
The goal: systems that remain robust, accessible and flexible – products that adapt to their users, not the other way around.



Lean UX in the AI era: why lean processes matter more than ever
In the second talk, Jan Schlag, UX Architect and Design Thinker at 21TORR, put one question centre stage: how do we develop products when AI accelerates processes but also makes them less predictable?
Jan's diagnosis: classic product development often suffers from silos, long decision chains and too much documentation. More planning doesn't solve these problems. More learning does. He understands Lean UX not as a methods toolkit but as a mindset – one in which:
Collaboration is operational, not formal.
Assumptions are made visible and tested.
Documentation serves decisions and is not an end in itself.
Trust is a prerequisite for all of the above.
The advantage: teams that develop prototypes earlier, test them and involve stakeholders reduce risk and reach clarity faster.
Lean UX doesn't mean delivering faster. Lean UX means learning faster – together.
Four UX methods for hybrid AI products and agile teams
Hypothesis Canvas
Focus on assumptions and outcomes instead of features.
Rapid Prototyping Sessions
Thinking visually together – whether on paper or in Figma.
Stakeholder Reviews with Prototypes
Fewer slides, more product.
Shared User Test Reviews
Sharing insights rather than evaluating in isolation.


Stuttgart's UX community as a driving force
What made the evening stand out was the quality of the exchange. The openness to connect perspectives and question current developments critically showed once again how active and capable Stuttgart's UX community is.
Our thanks go to MuseCase and Ergosign for the continuous work behind UXnite – and to all participants for their engagement. We look forward to the next event and to continuing the conversation.





