Big Data and Big Ideas: Quantitative Modeling in UX Research

This presentation will bring big data into the context of UX research by describing how big data can inform usability in three ways, focusing primarily on strategy and quantitative models. A case study involving field research will be explained and the audience will act as the UX team to help build the model at each stage to better understand the theory and final product that resulted. Quantitative models help make product research more interpretable by developing testable, causal relationships between product features and business outcomes (e.g., feel of product and product satisfaction), going beyond descriptive statistics for each feature and attribute. In this way, stakeholders know not just what features are performing or underperforming, but whether those are impacting the overall performance of the product on key outcomes.