This study proposes and validates a data mining-based interface development method (DaMIM) to optimize menu-driven user interfaces. DaMIM comprises six steps—target task definition, user selection, data collection, application of data mining techniques, analysis and evaluation, and determination of alternatives. Cluster analysis is used as the data mining technique. The proposed method is validated using a program developed to measure the reaction times of menu selection.