November 11, 2021
14:00
ESP
Taking a seat at the Machine learning table - My designer journey User testing and iterating AI interfaces
Rafaela Stamboroski
In this talk, I will share my experience as a designer in a B2B marketplace with an assistive matching algorithm used by expert Account managers. Starting with little previous knowledge, I will show the steps I took to build up my confidence and collaborate directly with Data Scientists, finding common ground. I will bring the design strategies we adopted and the iterative process, addressing themes like trust and user control. I will share how to apply these principles in interfaces for Artificial Intelligence enabled features that provide a transparent human interaction. The takeaway is that the designer can bridge a double gap: between what the user understands and what is happening; and the intentions of who creates the algorithm and the user. As a team, we were able to transform the product processes involving that algorithm by drawing a clear path to maintain a dialogue between the business, the data scientists, and the users. I will show in practice that where there are people and machines, there are interfaces and this is the designer's territory. I want this to be an inspiration for product people from all backgrounds to take part in the discussion and challenge assumptions.
Rafaela Stamboroski
Service Designer - Organization of Organizations
(They - Them)
Rafaela (she/her/hers) is a Brazilian Product Designer working in Berlin with 5 years of startup experience and a specialist in Digital Experience Design. As a designer, she digitalized services in Marketplace companies and built B2B applications from MVP to future-proof robustness. She is also a community fan. Participating in community events was a key element in her career path from architecture to digital product design. Always passionate about data, particularly from user input, Rafaela believes product making is a team sport. The designer's role is the human-to-machine translator. Skills include multidisciplinary collaboration, user research, data visualization, AI interfaces, and mixing a mean Caipirinha.