DeveloperWeek 2023

Grishma Jena, Data Scientist, IBM

Today’s world generates data at unbelievably rapid rates. It is important to leverage the available data to better understand the bigger picture. Data scientists and UX researchers often have the same destination but different routes. This talk gives an overview of how Data Science can complement UX research, including quantitative and qualitative methods. It introduces the Data Science pipeline along with describing useful applications for UX research like identifying users to interview, finding different segments of customers and generating data for usability studies. It highlights interesting instances of how the two fields can help each using real-life examples from Spotify, Airbnb, Tesla, etc.

By the end of this session, audience members will have a better grasp of the capabilities and processes of Data Science. They will be able to identify opportunities where Data Science can support and enhance UX research. They will feel motivated to encourage their UX research and Data Science teams to work closer together to understand business and user needs.