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This paper examines a process to provide designers information about the "Importance," or ranked correlation of design decisions to explicit multi-criteria performance metrics. Historically, the Architectural, Engineering, and Construction (AEC) industries have relied on prescriptive requirements and experience based precedent to promote building performance. The increasing complexity of building performance today, however, requires confronting multi-dimensional trade-offs across a wide range of performance metrics. With rapidly expanding goals and options competing with limited time and resources, designers struggle to frame, manage and extract value from data-rich simulations and analyses.
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