Visualization of Large-Scale Customer Satisfaction Surveys Using a
Parallel Coordinate Tree
Dominique Brodbeck and Luc Girardin. Presented at the IEEE Symposium on Information Visualization (InfoVis 2003), Seattle, October 19-21, 2003.
Satisfaction surveys are an important measurement tool in fields such as market research or human
resources management. Serious studies consist of numerous questions and contain answers from large
population samples. Aggregation on both sides, the questions asked as well as the answers received, turns
the multidimensional problem into a complex system of interleaved hierarchies. Traditional ways of
presenting the results are limited to onedimensional charts and cross-tables. We developed a visualization
method called the Parallel Coordinate Tree that combines multidimensional analysis with a tree structure
representation. Distortion-oriented focus+context techniques are used to facilitate interaction with the
visualization. In this paper we present a design study of a commercial application that we built, using this
method to analyze and communicate results from large-scale customer satisfaction surveys.
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