Building Information Modeling (BIM) has entered the construction industry and has permeated the commercial sector. Research is continually performed to expand the capabilities and applications within the industry. However, research has historically been mostly limited to the commercial sector and has seen little expansion to other sectors of the industry including the residential sector. The potential cause for this may be the limited number of industry professionals who utilize the software to the benefit of their companies. The focus of this study was specifically the custom home building sector of residential construction in the United States because of the unique and potentially complex nature of each project. The study was performed using a Delphi Panel, which utilizes a panel of experts to reach a consensus on a given subject. In this study, the goal was to reach a consensus on the most common uses challenges and benefits of BIM within the residential sector. In the first questionnaires, the experts were asked to identify, with a series of demographic questions including the number of employees in their company, the number of homes they build each year, and the average sale price of each home. Each expert's responses to the demographic questions were cross-referenced with the responses concerning uses, benefits, and challenges to provide other industry members wishing to implement with relatable demographic references to compare with their own company demographics. The experts then identified how they used BIM, what benefits they had seen, and any challenges they faced. The uses, benefits, and challenges identified in this questionnaire were ranked in the following questionnaire to identify the most common uses, greatest benefits, and greatest challenges.The top uses identified by this expert panel were design and visualization, the creation of construction documents, and quantity take-offs. The most common benefits identified by this panel were client visualization, plan accuracy, improved client communication, and ease of plan revisions. The most common challenges identified by this panel were high software costs, the steep learning curve when training employees, and the time-consuming nature of creating and maintain models correctly.