Explore a 20-minute conference talk from the ACM CHI Conference on Human Factors in Computing Systems that delves into improving methods for analyzing diverse subjective judgments in user experience research. Learn about the advancements made to a decade-old approach for extracting diverse perspectives from experimental data. Discover how the VARCLUS clustering method can be applied and extended to provide a more optimal algorithm for both within- and across-subject analysis. Gain insights into the integration of VARCLUS into ILLMO, a user-friendly program for interactive statistics, making this analytical approach more accessible to researchers. Understand the implications of these improvements for interpreting diverse subjective judgments in human-computer interaction studies.