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Improving On-line Archival Access: Preliminary Results from a Case Study Midwest Archives Conference Louisville, KY Apr

Improving On-line Archival Access: Preliminary Results from a Case Study Midwest Archives Conference Louisville, KY April 19, 2008. Chris Prom Assistant University Archivist University of Illinois at Urbana-Champaign prom@uiuc.edu.

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Improving On-line Archival Access: Preliminary Results from a Case Study Midwest Archives Conference Louisville, KY Apr

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  1. Improving On-line Archival Access: Preliminary Results from a Case StudyMidwest Archives ConferenceLouisville, KY April 19, 2008 Chris Prom Assistant University Archivist University of Illinois at Urbana-Champaign prom@uiuc.edu *Special thanks to Beth Yakel, Aprille McKay, and Helen Tibbo!

  2. Why Use Web Analytics? • “the measurement, collection, analysis and reporting of Internet data for the purposes of understanding and optimizing Web usage”-- Neil Mason, “The Four Parts of Web Analytics,” http://www.google.com/analytics/cu/ac_the_four_parts.html • Allows unobtrusive observation of actions (NOT motives or initiative) • Data is easy to collection and view • Provides basis for action and further study; iterative redesign Daniel Russell, regarding Google’s Eyetracking studies: “people behave differently here, they want to make researcher happy, have been given a free lunch”

  3. Internal Log Data?? 138,041 hits on collection records 117,468 hits on search page 14,210 hits on “browse by campus unit” (12,737 non-staff) 6,721 hits on “browse by digital content” 2,287 hits on “browse by subject” 1,855 hits on full finding aid 1,255 hits on “browse by title” 449 hits on “PDF/Deep Search”

  4. Structure Facilitate Contact Provide Descriptive Information About us; Link to Programs Mediate use Promote Services Step One—Analyze/Align Current Website Goals and Structure • Archival Website Goals: • Provide information on services? • Provide access to descriptive information? • Drive on-line or on-site use? • Facilitate research, service, learning? • (Developing Archival Metrics http://www.si.umich.edu/ArchivalMetrics/ ) More Complex

  5. Step Two: Analyze Current Use Overview of UIUC ‘non-virtual’ use in 2005/06

  6. Step Three—Develop a Privacy Policy • Google Analytics http://www.google.com/analytics/tos.html • Installation Instructions • COLLECTS what they term “anonymous traffic data” (includes IP Address) • REPORTS summary information only • Requires use of a privacy policy • UIUC Archives http://web.library.uiuc.edu/ahx/about/privacy.php

  7. Step Four—Plan the Study • Know what you really want to measure • Limit yourself and make it actionable! • Q1:How do people get to our site? • Q2: What are the most popular pages/groups of content? • Q3: What are most popular searches? • Q4: How do users move through the net and our site toward 4 ‘goals’? • Use search form • View record series description • View full finding aid • Send email Better

  8. My ‘Goal Conversion Funnel’ User enters site on home page and searches holdings Caveat: Does not include direct ‘hits’ via Google, or other external referrers Caveat: Does not include emails sent directly to the address illiarch@uiuc.edu User visits or uses materials remotely!

  9. Q1: “Referrers”

  10. Q2: Top Content Areas

  11. Q2: Top Content—Homepage July 4 Weekends 6.3%

  12. Q2: Top Content—Archon 64.5%

  13. Q2: Top Content—Landing 55.3% of all visitors enter site on collection page Hmmm….

  14. Q3: What do users search for? • Can measure both external and internal searches • Drill down to see ‘clickstream’ and exit pages • Rerun searches to see how users enter and leave site

  15. Q3: Google Keywords (Searches)

  16. “Clara Hamilton” YIKES!!!

  17. Wow! Deadend!

  18. “Daily Illini”

  19. 17 (!) in Google Result Set Lesson We MUST provide links to digital content (where it exists) or create it (where it does not exist and users are trying to find it).

  20. “Strip Mines and Illinois”

  21. Lessons Importance of controlled subjects area <title> element usage Optimize ‘landing page’ It’s the digital content, stupid Clicked!

  22. Conclusions 1: My Assumptions Were Wrong • Users RARELY enter our main page, then search • Users DON’T walk a prescribed path to the physical records (DON’T assume visitor intent, Peterson, p. 25) • Digital content IS NOT a ‘value added’ function

  23. Conclusion 2: Google optimization matters • Add more contextual information to landing pages • Integrate better information into title (66 character rule) to improve page rank. • Be concise and putting most important information first • Emphasize content not description

  24. Archon Home: Before

  25. Archon Home: After

  26. Controlcard: Before

  27. Controlcard: After

  28. Finding Aid: Before

  29. Finding Aid: After

  30. Digital Content: Before ?????

  31. Digital Content: After

  32. Next Steps • Rerun stats on new design, July 2008 • Develop ecommerce and explore ‘goal conversion funnel’ • Submit for publication

  33. Improving On-line Archival Access: Preliminary Results from a Case StudyMidwest Archives ConferenceLouisville, KY April 19, 2008 Chris Prom Assistant University Archivist University of Illinois at Urbana-Champaign prom@uiuc.edu

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