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Using Suma to Track Reference Transactions
- 1. Using Suma totrack desk transactions Joyce Chapman Duke University Libraries Assessment Coordinator March 24 2015
- 2. Service desk transactiontracking
- 3. Analysis for data-drivenmanagement 0% 4% 8% 12% 16% 20% 1am 2am 3am 4am 5am 6am 7am 8am 9am 10am 11am 12pm 1pm 2pm 3pm 4pm 5pm 6pm 7pm 8pm 9pm 10pm 11pm 12am % Research transactions by hour of the day 50% 24% 19% 18% 13% 8% 7% 12% Research transactions by day of the week (semester data only)
- 4. Problems with thedata • Estimated that up to 50% of transactions were not being recorded! • Tool takes too long, too clunky • During busy periods in particular, staff are often unable to record
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- 10. Suma versus LibAnalytics •Suma has no login (saves time, but doesn’t auto-track who recorded the data) • Suma can only take binary data based on tags, does not accept text input (cannot record what the question/answer was)
- 11. Findings of pilot •Pilot: November 2014 compared to data from November 2013 Findings: • 93% more transactions recorded • 56% more research transactions recorded
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- 13. Obstacle to usingSuma • It is not an “out of the box” product • It requires IT support to install and set up (but not after initial setup) • You will need several hours of a system administrator’s time
- 14. Joyce Chapman joyce.chapman@duke.edu Suma info http://www.lib.ncsu.edu/reports/suma Sumadownload (gitHub) https://github.com/cazzerson/Suma Suma user Google Group https://groups.google.com/forum/#!forum/suma- mobile-library-assessment-toolkit