Poster presented at SCELC Research Day 2013.

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?
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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