The objective of this paper is to illustrate a novel visualization methodology which can enhance the complementary relationship betweencomputers and designers of high performance buildings. The proposed approach facilitates Multi-Criterion Decision Making via interactivevisualization that allows dynamic adjustment of important variables, while providing a visual range of allowable variation for the other designparameters. The parallel coordinates visualization technique is the culmination of a methodology which includes the application of Monte Carlotechniques to create a database of solutions using whole building energy simulations, along with data mining methods to rank variableimportance and reduce the multi-dimensionality of the design problem. The solution set are then fit by a second order regression model whichcan instantaneously provide bounds on specific regressor variables when other variables values are changed , while satisfying pre-set energyperformance limits. The methodology is illustrated using the USDOE medium office building configuration with 15 design variables.