Add to ORKGThis paper presents new methods for understanding specific building performance trends and their dependencies by parameterizing digital building models over multiple variables in order to create a high dimensional design space that can be rapidly simulated, analyzed, and visualized. These methods allow for the potential delineation of multiple areas of the design space that are characterized by relatively high performance instead of a single optimum. The ability to identify clusters of high performance is particularly helpful to architectural design processes, which must take into consideration variables that cannot be parameterized and resist quantitative methods of optimization