Steve Baty — Analysing user research data

A presentation given at Web Directions User Experience, Melbourne Australia, May 16 2008.

Presentation slides

Session description

In our efforts to better understand the end users of the sites & applications we design, we generate a great deal of data. That data is useless to us until it has been analyzing and interpreted. This presentation looks at some of the methods & techniques we can use to make sense of user research data in a meaningful & rigorous way.

The presentation will look at some of the common types of quantitative data collected during user research, and the statistical analysis methods we can employ to make the most of our data-​​gathering efforts. The session covers practical examples such as task completion rates, time-​​to-​​completion, page view comparison, as well as some basic concepts in statistics.

About Steve Baty

Steve Baty PortraitFounder & Principal Consultant at Meld, Steve has over 13 years’ experience in the design and delivery of e-​​business services. Steve is a well-​​known practitioner in the area of experience strategy and architecture, writing articles for industry publications and presenting at local conferences. During his career Steve has completed over 300 Web projects & thousands of smaller tasks.

Steve has, over the past four years, led user experience teams to develop online strategies and experience architectures for clients across a broad spread of industries including: tourism, travel, transport, consumer electronics, manufacturing, government, and the arts. These include projects for the Department of Environment, Water, Heritage & the Arts; an expert review for Maersk Line — the world’s largest container shipping company; oneworld Alliance — the world’s leading airline alliance; YHA Australia; and Fuji Xerox Australia.

Steve holds post-​​graduate degrees in electronic commerce (M.Ec) and business administration (MBA) from the Macquarie Graduate School of Management; and a bachelor’s degree in Mathematics (Physical Mathematics & Applied Statistics) from the University of Technology, Sydney.

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