StatDesign is a pioneering, boutique statistical design firm nestled in the mountains of Colorado.
Bringing the World of Advanced Choice Techniques to You
StatDesign is focused on helping your market research insights team succeed in delivering the right analytic tools to answer your client’s research questions. Bringing decades of industry and academic experience to the table, we specialize in the design and analysis of Choice, MaxDiff and TURF analysis. We work directly with you to create the best customized approach to modeling choice behavior to meet your client’s needs.
Jill Hesser oversees the visualization of StatDesign’s output and the development of our customized decision support systems. She manages projects from start to finish, using the most up-to-date modeling approaches for Choice, MaxDiff, and TURF. She complements the team with over 30 years of experience in consumer market research, simulator development, survey design, data collection, modeling choice data, and the development of actionable results.
Since the 1970s, Dr. Donald A. Anderson has played an integral role in the development of conjoint, discrete choice, and MaxDiff modeling methods. He has written and delivered numerous seminars on experimental design and analysis, presented and been published at international conferences and in research journals, and served on the organizing committee for the American Marketing Association’s Advanced Research Techniques Forum.
Discrete Choice Explained
StatDesign's primary business is the design and analysis of discrete choice experiments. Discrete choice is an approach used to understand, quantify, and predict consumer choice behavior in competitive markets.
Our Approach
Based on a rigorous and well-tested theory of consumer choice behavior, known as random utility theory (McFadden 1974), the discrete choice methodology is derived from econometrics, cognitive psychology, and experimental design.