Multi-attribute utility theory (MAUT) is a non-monetary approach used to quantify the difference between distinct alternatives considering decision-makers’ preferences to outcomes by assigning utility measures for each alternative. The main objective of using MAUT when evaluating different alternatives is to achieve Value for Money (VFM), meaning the best possible results based on the money spent. This paper describes the development of a decision-making framework proposed to assist the Florida Department of Transportation (FDOT) with selecting contractor compensation provisions in resurfacing Design-Bid-Build (DBB) projects. The framework facilitates the trade-offs among four decision objectives, if satisfied, to demonstrate value-for-money in FDOT resurfacing investments. The model is illustrated through a hypothetical resurfacing project. The development of the model includes defining four decision objectives. Six measures were proposed to evaluate the level of achievement of the four decision objectives.