Examines how to optimize decision-making through testing various factors and scenarios using experimental design on a small scale where risk is low so learnings can be applied on a larger scale. Topics include test prioritization and planning, design of experiments, sample selection and sizing, operationalization, and analysis/dissemination of results. Prerequisite: MAST 6251. (*updated* 12/2/2021; effective spring 2022)