Informed Desk Staffing with Quantified Reference Statistics Using Electronic Data Collection to Re-Envision Reference Services at the USF Tampa Libraries ALA 2011 Annual Conference Presentation RUSA MARS Top Trends June 25, 2011 http://guides.lib.usf.edu/informedstaffing
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Informed Desk Staffing with Quantified Reference StatisticsUsing Electronic Data Collection to Re-Envision Reference Services at the USF Tampa Libraries
ALA 2011 Annual Conference PresentationRUSA MARS Top TrendsJune 25, 2011http://guides.lib.usf.edu/informedstaffing
Lily Todorinova, University of South Florida
Andy Huse, University of South Florida
Barbara Lewis, University of South Florida
Matt Torrence, University of South Florida
University of South Florida
Campuses: Tampa, St. Petersburg, Sarasota, LakelandStudent Population: (Tampa): approx. 40,000Profile: Urban, Undergraduate, High Research Activity
The Libraries
Re-Envisioning Public Services
• Context for the project: 2010, Inter-departmental
• History of the Learning Commons
Assessment
• Tally sheets and/or "clickers"o Sample days throughout the semester
• Experimentation & anecdotal information
• Aeon
• Desktracker
Recommendations
• Single-staffing librarians with GAs at peak times only
• Instituting a referral system between GAs (or paraprofessionals) and librarians, when desk is single-staffed
• Instituting better referral between other departments and units (Special & Digital Collections, as well as Circulation, the Writing Center, and Tutoring and Learning)
• Eliminating night hours and reducing weekends
• Increasing reliance on virtual reference
Virtual Reference: The Solution
• Started with email in 1999
• Moved to, from, and back to collaborative serviceso TBLC Statewide
• Chat and text serviceso Supplement, or replacement?
• The future...?
Management Decision-making
• Decision-making literature
• Structured interviewso Past, present, & future data collections
What? How? Why?
o Decision-making process What types of decisions? How was it done? How do you want to do it? What type of data do you need?
Results in Special Collections• The old backup desk model (staff/students with faculty
backup) had problems: two scheduled for each hour, duplication, no benefit to patrons.
• Aeon and Desk Tracker provide important data: Similar ratio (9:1) of basic informational questions to actual reference queries. Majority of patrons required "retrievals," not "consultations.”
• New desk model, relatively small cadre of two staff and two students. Advantages: Frees faculty for other duties, a stable lineup of well-trained desk staff, eases schedule creation.
• Statistics determined cuts in hours.
• Small department, fast implementation.
Results in Academic Services
• Changes in daily schedulingo Down to one librarian/GA for slower timeso Modifications to evening coverage (TBLC chat help)o On-call hours
• Changes to weekend schedulingo Librarian shift moved to Sunday evenings (4-8pm)o Email and chat coverage on Saturdays
• Increased focus on consultationso Workshopso Research Rescueo Individual sessions
Conclusions and the Future
• Knowledge Tracker
• Systematized referral process
• Cross-informational training between service points