Triangulating Mountains of Data: Using Three Data Sets for Website Content Analysis                                       ...
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Triangulating Mountains of Data: Using Three Data Sets for Website Content Analysis

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Poster presented at SCELC Research Day 2013.

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Triangulating Mountains of Data: Using Three Data Sets for Website Content Analysis

  1. 1. Triangulating Mountains of Data: Using Three Data Sets for Website Content Analysis Where do our patrons get stuck on our website? What are they looking for? To answer these questions, Golden Gate University librarians embarked on a project to analyze three data sources to improve the user experience of the library website. Anecdotal evidence suggested that the library website was confusing and patrons were having difficulty finding information that was buried in pages of text. This hearsay prompted the Web Services Librarian to form a team who determined what objective data to use for web content analysis. 1. IM Stats 2. Google Analytics 3. Patron Survey Usage statistics for embedded chat reference Google Analytics provide statistics on traffic A brief patron questionnaire identified what widgets revealed where questions originated, patterns of the most viewed content on the information patrons are seeking on the website because that is likely where patrons were website, helping prioritize which website and where they get confused. having trouble. content to analyze first. Where do IMs originate on our website? Contact Collections & Resources Research Help About Services How Do I LibraryH3lp statistics, July 2012 - January 2013 Pageviews, Sept 24, 2012 - Feb 25, 2013 Project Management Software Future Research: Usability Testing The team evaluated project management software to keep the project focused and Ongoing usability studies will keep the project user-centered. Ultimately, this project on track. Here are some selection criteria we used. will improve website content so patrons can easily find what they need. •Product name •Max users •Hosted? •Website •Free trial? •Ease of use? •Reviews •Tickler feature? •Customizable fields? •Pricing •Max file storage? •Interest level? •Max projects •Open-source? Margot Hanson & Annis Lee Adams, Golden Gate University | SCELC Research Day, March 5, 2013

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