Kevin Richardson

Architecting Speed | Making Racing Data Useful

Thursday, January 1st

10:30 - 11:15

Key Learnings

  • The traditional method of generating insights from large data sets by looking for correlations between variables is risky and unlikely to provide users with actionable insights.
  • Even strong correlations between variables is still only a data point and people do not act on, or infer insight from, data. People act on information.
  • UX that focuses solely on converting data into charts and graphs (re: dashboards) that leaves people with the unenviable task of trying to translate data into information is a clear indication of poor design.
  • Details

    There is a lot of data out there. There is also a lot of discussion about how large data sets hold the promise of business growth, large scale innovation, and, perhaps most importantly, insight.

    Traditional businesses, however, are not the only ones relying on very large data sets. Motorsport racing generates enormous amounts of dynamically changing data in the pursuit of speed. At the professional level, teams collect more than 3 billion data points during a single 45-minute race. Even amateurs are collecting >1 million data points with minimal investment. Unfortunately, complex dashboards and data visualizations are the norm, leaving the problem of translating the data into actionable information to the racers (or their engineers).

    This “solution” of relying on end-users to translate data into actionable information highlights two important problems.

    Problem One. People neither act on, nor infer insight from, data directly. Data on its own is useless. It requires someone to translate it into information. Information is actionable. Data is not.

    Problem Two. Businesses (racing included) do not recognize problem one. Focusing on converting data into charts and graphs (re: dashboards) leaves users with the unenviable task of trying to translate it into a form that is both contextually relevant and actionable.

    My presentation tells the story of how the design process was applied to the problem of making the large data sets found in motorsports racing useful to the racers and engineers of this unique business. Through the creation of innovative racing software, I demonstrate how design bridges the gap between the technical challenge of data collection and the human challenge of data interpretation.

    Thursday, January 1st

    10:30 - 11:15

    Kevin Richardson

    Director of User Experience - Infragistics

    Kevin Richardson has been working in the area of user experience for 25 years and is currently the Director of User Experience at Infragistics. With an advanced degree in Cognitive Psychology, he has experience across business verticals and in the fields of research, evaluation, design and management of innovative, user-centered solutions. Kevin’s experience includes web sites, portals and dashboards, as well as enterprise software and custom business applications. As an advocate for the practical application of UX Design, Kevin is a hands-on practitioner, author and conference contributor.

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