Meetings supported by group support systems (GSS) usually follow a manual and sequential approach to analyse, reduce and organize a large amount of information generated during the brainstorming task. The subsequent task, idea consolidation, represents the stage where relevant information is captured from the large set of comments, ideas, requirements, etc. and is a very critical task for the whole decision process. Unless an understandable, meaningfully agreed upon list of items are produced among participating members, subsequent decision-making action (e.g., multi-criteria voting and rank order prioritization) can be viewed as artificial and meaningless, leading to a false consensus and thus to a low degree of commitment and chance of future success. There is a lack of research investigating this critical phase of group decision making, particularly for problem-solvingdirected or complex tasks (Kerr and Murthy 2004, Martz and Shepherd 2004).This paper propose a new research perspective for the design of group support systems and specifically addresses the idea consolidation problem by providing a method for surfacing, reconciling and integrating views of group members, using hierarchical clustering and multidimensional scaling techniques. Future directions and implications of this research are also discussed.