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Oz-IA/2007 » Analysing Quantitative Data

Analysing Quantitative Data

Steve Baty

Experience design research (aka User research) generates a lot of quantitative data for the practicing IA to collate, analyse, and draw conclusions. This sessions looks at some basic techniques and principles of quantitative analysis; drawing valid conclusions; and reporting findings. The session will include examples from recent published reports, as well as some theory (not too much, I promise). No prior experience in quantitative analysis is required.

Steve BatySteve Baty joined Red Square in February 1999 and is responsible for Red Square’s eCommerce and user experience strategy. Steve’s work involves the alignment of user experience strategies with the overall business goals of the organisation, balancing brand, marketing, IT, financial, user and competitive forces in the development of a cohesive project vision. Over the past few years Steve has led Web projects for Panasonic Australia, YHA Australia, oneworld Alliance, Maersk Line, Australian Museum, Tourism Queensland, Sydney Convention & Exhibition Centre, and Fuji Xerox Australia.

Steve holds two Masters Degrees, in Electronic Commerce and Business Administration, and a Bachelor of Science Degree in Applied Statistics and Applied Physical Mathematics. He is a published author on topics as diverse as electronic commerce strategy, IT management, user experience strategy and user research theory, and has had articles translated into a variety of languages appearing on international industry sites including CNet China. Steve is an active member of the Interaction Design Association (IxDA), the Sydney IA-Peers industry network and the Web Standards Group (WSG); and is a columnist for UXMatters - the international online journal specialising in user experience design.

One Response to “Analysing Quantitative Data”

  1. SitePoint Blogs » Four events to keep you learning says:

    [...] Architecture, though there are also presentations on related topics as diverse asEthics, Analysing quantitative data and Multidimensional tagging frameworks. While OZ-IA is new on the scene, it seems to have really [...]