Sustainability evaluation in building designs needs to consider the three aspects of sustainability, social, environmental and economic, simultaneously. The social aspect is less focused on the existing sustainability assessment methodologies and should be more incorporated in the assessment. The aim of this paper is to contribute a new method to sustainability evaluation that incorporates user preferences and important factors from the three aspects of sustainability and investigates Artificial intelligence (AI) for finding the best design that fits the user needs. Therefore, a framework in which a metric to compute the design quality of life (QoL) and an algorithm for evaluating design sustainability is proposed for best decision making. Building users, experts, and data from Building Information Modelling (BIM) simulation results were incorporated into the process. The study involves a literature review, a survey for collecting user preferences as methods and an experiment for testing the framework. Artificial data from designs and user is used in the experiment as inputs. The results demonstrate the feasibility of this framework to evaluate design sustainability and approximate the design that fits best the user’s requirements based on the three aspects of sustainability simultaneously. User preferences are incorporated into the framework to improve evaluating the social aspect of sustainability. More comprehensive design sustainability evaluation can be developed based on the proposed framework.