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2014 47th Hawaii International Conference on System Sciences (2008)
Waikoloa, Big Island, Hawaii
Jan. 7, 2008 to Jan. 10, 2008
ISSN: 1530-1605
ISBN: 0-7695-3075-3
pp: 37
ABSTRACT
We describe questions that commonly arise in early-phase user research for new technology products concerning customer needs, priorities, and market definition. We suggest that methods adopted from marketing research, statistics, and game theory may be helpful for user researchers to answer those questions. We show how these methods have been applied to real problems and decisions for a new product line at Microsoft. These methods are especially appropriate for HCI professionals because they require solid experience with experimental research and statistical methodology and complement other user research tools. The methods may be most effective when combined with detailed research on user tasks, goals, and interaction models. When research is synthesized in this way, it can make a strong contribution to product definition and business strategy.
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CITATION
Edwin Love, Christopher N. Chapman, James L. Alford, "Quantitative Early-Phase User Research Methods: Hard Data for Initial Product Design", 2014 47th Hawaii International Conference on System Sciences, vol. 00, no. , pp. 37, 2008, doi:10.1109/HICSS.2008.367
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