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Short-Term Goals (6 months) - Analysis on Oct. 14

(See also the UX Systemwide Assessment 2011 for FY11.)

Virtual Site
  1. Create more intuitive connections between our varied collections and services
    • Wiki Markupimplement SFX buttons in Barton \ [done\!\]
    • improve SFX menu
  2. Search tools: make it easier for our users to understand which are best to use when. (Systemwide UX objective: Improve the Vera interface to help students find and use more and better resources to inform their library research.)
    • mockup new Vera design from heuristic tests
  3. Gather more WordPress expertise
    • establish best practices: UIG group meetings, hire outside expertise and/or involve Wendy

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  1. Assess our physical spaces for good usability.
    • See all of spaces section above.
    • The Patron-for-a-Day (PFAD) project is a good start on this.
    • The user needs study planned for Feb/Mar/Apr likely will encompass physical space needs.
    • Objectives in the systemwide assessment do include user needs analysis for physical spaces. Specifically:  
      • ID&LA (plus others) objective: Evaluate user behaviors to inform space programming.
      • ID&LA/CSM objective: Realign the role and locations of tangible collections in our facilities.
      • plus our own, listed above
  2. Use our web statistics to learn more about how our tools/sites are currently used.
    • Examine SFX and Web of Science for what their reports offer. Share info with CSM.
    • Evaluate other programs (Google Analytics, heat mapping, etc.)
  3. Demo to staff how to effectively use qualitative data
    • Qualitative data includes stories, results of interviews and focus groups, studies of groups that are too small to be representative. Quantitative is numerical data.
    • Lisa H. may attend a week-long program in March that includes analysis of qualitative data. She will bring back to UX what she learns.
    • Stephanie's training at the CLIR workshop on gathering user needs may also contribute toward this goal.
    • A concern expressed by Nicole is that people are using qualitative numbers. (For example, if 33% of 32 people behave a certain way, it is not necessarily telling. If 33% of 1000 people behave a certain way, and 1000 people is a representative sample, then we can make conclusions.)

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