Building Information Modeling (BIM) is a technological innovation currently at the forefront of digital transformation in the built environment. To achieve satisfactory outcomes with BIM, adopters need to find the most appropriate implementation strategy that is economically efficient. The research discussed here explores why and how distribution of effort spent on various tasks over project life cycle can be used as a metric for assessing and improving the performance of BIM implementation. Using quantitative data collected from a single in-depth case study of a BIM-enabled design and build project and subsequent interviews with three project actors and 11 BIM experts, to validate and triangulate the findings, we explore the use of effort data to analyze and visualize effort distribution patterns. The visualizations revealed the dynamics of team collaboration and task interdependences in BIM-enabled work and their impact on effort distribution. Lack of timely input by the contractor, subcontractors and suppliers influenced unusual patterns in the distribution of efforts indicating potential sources of inefficiency and unnecessary costs in the BIM process; thereby revealing the pivotal role of procurement structure and suggesting the need for timely involvement of key project participants. The contribution of this work is twofold. Methodologically, effort distribution analytics can provide insights that managers can use to improve BIM implementation process. Theoretically, the findings can be used to support informed decision-making, control cost, optimize resources, manage cash flow and to structure fees.