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A Web-based analytical tool that provides solutions to support vehicle attribute target setting with integration of attribute data, target setting best practices and data mining techniques is introduced at Ford Motor Company. With this tool, quality of attribute target setting is to be significantly improved. Major features of the tool include attribute data preservation, single data repository, standard report-out process, expertise sharing, up-front target balancing and customer satisfaction analysis that are enablers of the improvement to set better initial target ranges and conduct a more efficient attribute trade-off process. Method of the tool development, advantages, disadvantages, and one application example are given in this paper.