Accurate representations of anthropometry are necessary for effective digital human models. It has been known for decades that inappropriate application of univariate anthropometric data to multivariate problems yields suboptimal design performance. However, traditional design tools including textbooks and univariate data tables do not foster an understanding about appropriate means for solving multivariate problems. On the other hand, quantitative design tools that permit visualization of large anthropometry datasets are better suited for exploring more complicated problems with multiple dimensions. One such tool—a dynamic web interface—is investigated in the present research and its performance is compared with an existing technique—univariate tables—for incorporating anthropometric data into design. This paper presents preliminary research for developing intuitive tools that enable designers to properly solve multivariate problems.