UC Berkeley School of Information

The data science toolkit encompasses powerful approaches for detecting and clarifying patterns in social or behavioral data. But when it comes to the interpretation of those patterns, it sometimes falls short — the data may convey “what” and “how much” with great precision, but it is often silent on “why” and “how.” Complementary research methods can fill in these gaps and paint a fuller picture of the phenomena at hand. At Facebook, we combine data science with qualitative and quantitative research, often iteratively, to gain a deeper understanding not just of what people are doing on Facebook, but why and how. Judd Antin UX Research Manager Facebook Judd Antin is a UX Research Manager at Facebook, where he focuses on bring the theories and practices of social psychology, social computing, and HCI to bear to improve Facebook’s products. Judd and his team employ methods that range from ethnographic fieldwork to big data analysis to understand products like News Feed, Ads, Photos, and Groups. In 2011, Judd