Analysing Quantitative Data
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 Baty joined Red Square in February 1999 and is responsible for Red Squareâ€™s eCommerce and user experience strategy. Steveâ€™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.