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Milena Suter

Interdisciplinary teams can enhance problem solving abilities but may also lead to negative effects on group cohesion and team performance. There are five categories of known problem areas in such collaborations, including communication difficulties, methodological problems, difficulties in defining project goals, prejudices and false expectations, and group dynamic problems. UX designers and ML engineers must work collaboratively to bring a human-centric approach to ML methodologies and develop algorithms that consider human goals, contexts, ethical problems, and work styles. However, if UX designers fail to recognize the potential of ML, it will be impossible to create a digital product that meets current users' needs. To develop a product with successful UX, experts from various research fields must collaborate effectively and handle users' data in a trustworthy and ethical manner. Keeping knowledge up to date is important for both UX designers and ML engineers.

Problem context

Proposed solution

The goal of the project was to successfully bring together user experience designers and machine learning engineers in an interdisciplinary project process. To understand the process model and how to put it into practice, I wrote 21 worksheets with more detailed information about the different steps to be taken. All the information researched and developed is freely available on the website. There is also a forum where interested experts can talk to each other and share their experiences and challenges.

  • Benchmark research

  • Personas

  • Survey

  • Expert interviews

  • Prototyping

  • Challenging Workshop (Testing)

Applied methods

Over the course of the project I had several challenges to overcome. I realized that all the theoretical knowledge I gained thorugh my master classes, was only partical helpful in practice.

Especial when creating a successfull user journey map i learned much. Before developing a user journey map one first needs to decide if the map should show the now situation or the desired outcome of the product or sevice. There are always different ways and approaches to apply the chosen method into practice. Therefore I needed to adaped and remain flexible.

When I first created the website, I struggled with how to present all the information clearly and in a way that would not overwhelm the user. This is why I decided to present the results and information like a file system. This way the information is more on demand and the user has the power to decide what kind of information they want to see.​ 

Working and collaborating with successful companies like Zühlke Technology Group, ti&m and SBB during my project shows the demand and value of a process model like nestor.

Challenges + learnings

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