• DocumentCode
    2868353
  • Title

    Quantitative Early-Phase User Research Methods: Hard Data for Initial Product Design

  • Author

    Chapman, Christopher N. ; Love, Edwin ; Alford, James L.

  • Author_Institution
    Microsoft Corp., Redmond
  • fYear
    2008
  • fDate
    7-10 Jan. 2008
  • Firstpage
    37
  • Lastpage
    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.
  • Keywords
    game theory; human computer interaction; market research; product design; statistical analysis; HCI; customer needs; game theory; human computer interaction; marketing research; product design; product line; quantitative early-phase user research methods; statistics; Design engineering; Game theory; Human computer interaction; Market research; Marketing and sales; Product design; Solids; Statistical analysis; Statistics; Usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hawaii International Conference on System Sciences, Proceedings of the 41st Annual
  • Conference_Location
    Waikoloa, HI
  • ISSN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2008.367
  • Filename
    4438741