As data continues to influence every field, including creative ones such as architecture and design, the importance in the type of data increases. Through generative algorithms, or more recently machine learning, the mathematical formulas are designed to reduce, minimize, or optimize certain parameters. These parameters should have a method for evaluation in order to check the generated or created design option. It is this method of evaluating the design that is a critical underlying component that must be researched before implementing mass customized designs from computer algorithms. This paper discuses the use of human factors as an evaluation criteria, with the important assumption: the designed space is meant to be for people. A broad review of various human factors that have been quantified in literature is presented. Additionally, methods for parsing a building design when geometry is not organized, as in the case of BIM, are detailed. Examples of human factors related to designed spaces of various people are given, along with specifics in how the presented evaluation methods can be applied to improving space for people, including some with disabilities.