Comparing architectural designs and measuring level of success is rather difficult. This research suggests that monitoring occupant behavior helps extract objective data that can then be interpreted as a measurement for evaluation of space. Lack of occupant behavior tracking and its understanding in terms of spatial layout problems constitutes the gap that underpins the major motivation for this research. The main concern of this research is to build a platform for acquisition of objective data for spatial layout evaluation and interpretation of acquired data to better understand how space is utilized by occupants. The methodology constructed in this research outlines a process for capturing and analyzing space utilization information. Through this process, assessments based on objective data will be available for spatial layouts. The Trajectory Data Processing Framework (TDPF) is constructed to function as a foundation for building connections and correlations between trajectory analysis and problems associated with spatial layouts. A set of tools for analysis of occupant interaction with layouts called Occupant Layout Interaction Analysis (OLIA) is laid out with computational tools and practices. Keywords: Building performance, spatial layout evaluation, tracking occupant movement, trajectory data analysis