Personal Collection
of Take Aways

Training the AI model for future development poses a technical challenge. Early user tests revealed that unlike conventional interfaces, users deem personalized interaction options and a tailored atmosphere as crucial.

The design should minimally distract the user, create a pleasant atmosphere, and simultaneously provide prompts to enable access to deeper underlying thoughts.

The project's complexity stems from determining to what extent AI can understand human thoughts, especially when individuals struggle to process and interpret their own experiences and thoughts.

For Lennart, the approach of creating a business model and integrating it with a service design was entirely new. It quickly became evident that merging a design concept with a numbers-driven business model in a harmonious symbiosis is a challenging task.

Dive into the fascinating world of color theory and learn how to create captivating visual designs by understanding the principles of color harmonies, psychology, and combinations.

Nearly all expert interviews highlighted that in Germany, regulatory requirements make changes to public infrastructure and thereby the innovation process quite challenging. Moreover, projects in public spaces inherently involve more parties, each imposing their own requirements on the project initiator.

Given the scope of the project and the diverse perspectives within the 4-person team, the importance of internal communication for mutual understanding and collective decision-making became apparent to all involved.

One of the main reasons for choosing video analysis software was that, according to surveys and interviews, the majority of driving students don't know what they did wrong in practical driving lessons. This is mainly because driving instructors, if they provide feedback at all, give vague feedback, and students cannot see themselves.

An intriguing insight from the project was that driving students don't overlook other road users due to inattention, as previously assumed, but rather because they collect too many unrelated pieces of information. This significantly hampers anticipatory driving for beginners.

In this project, more time was allocated to research at the beginning compared to previous projects. Surprisingly, this led to significant time savings during the project and minimized the need for iteration loops.

Reverse big steps and redo work can save you time
in the long run.