3. Patron Survey

1. IM Stats

2. Google Analytics

Project Management Software

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

Margot Hanson & Annis Lee Adams, Golden Gate University | SCELC Research Day, March 5, 2013

Future Research: Usability Testing

Where do IMs originate on our website?

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LibraryH3lp statistics, July 2012 - January 2013

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.

The team evaluated project management software to keep the project focused and on track. Here are some selection criteria we used.

Ongoing usability studies will keep the project user-centered. Ultimately, this project will improve website content so patrons can easily find what they need.

Usage statistics for embedded chat reference widgets revealed where questions originated,

because that is likely where patrons were having trouble.

Google Analytics provide statistics on traffic patterns of the most viewed content on the

website, helping prioritize which website content to analyze first.

A brief patron questionnaire identified what information patrons are seeking on the website

and where they get confused.

•Product name •Website •Reviews •Pricing •Max projects

•Max users •Free trial? •Tickler feature? •Max file storage? •Open-source?

•Hosted? •Ease of use? •Customizable fields? •Interest level?

Pageviews, Sept 24, 2012 - Feb 25, 2013