The life-cycle energy, thermal comfort, and daylighting performance of buildings is substantially determined in the early stages of the design process. Performance-based analysis methods supported by product models have little opportunity to inform these early stage design decisions because current tools and processes do not support the rapid generation and analysis of alternatives. The goal of this research is to reduce the time required to complete such design iterations. We anticipate that this will allow design teams to formally investigate the energy, thermal comfort, and daylighting performance of many more alternatives during the conceptual design phase leading to improved built environments. To this end, we propose to (1) develop a framework to measure the effectiveness of multidisciplinary analysis (MDA) methodologies using time as the unit of analysis; (2) identify the critical conceptual design parameters and parametric relationships for energy, thermal comfort, and daylighting; (3) implement methods and technologies including building information modeling (BIM), parametric modeling, and process integration and design optimization (PIDO) to automate discipline analysis and process integration for energy, daylighting, and CFD simulation using EnergyPlus, Radiance, and Fluent, respectively; and (4) measure the effectiveness of these new methodologies using the described framework.