Selecting from the many currently available systems development methodologies (SDMs) and development techniques is a difficult problem with economic, technical, and behavioral implications. A quantitative approach to the selection problem is presented. The selection model begins with a definition of a superset of functions expected of a systems development tool. Functions are then weighted, using a Delphi approach to achieve acceptable valuations among System managers. Next, each approach under consideration is evaluated with respect to each function desired. After scores are computed for each methodology, economic arid qualitative aspects such as training availability and cost can be used to differentiate the highest ranked alternatives. A four-person MBA project team from the Graduate School of Management at the University of Minnesota, with the guidance from the authors, applied the model to a methodology selection problem. In addition to producing a quantitative ranking of competing methodologies, the approach described furthered understanding of the functions to be performed by the methodologies being considered. It also gained acceptance, admittedly reluctant, of the recommended methodology from managers who strongly advocated their own favorites.