428
Views
0
CrossRef citations to date
0
Altmetric
Research Articles

How Happy are They? Assessing Patron Satisfaction in Reference Delivery through a Continuous, Brief Survey

ORCID Icon, &
Pages 145-164 | Published online: 12 Dec 2021
 

ABSTRACT

Measuring the quality of service delivery in an academic library presents challenges, particularly in relation to reference training and supervision. In early 2020, the Harold B. Lee Library at Brigham Young University implemented a short, three-question survey to monitor patron satisfaction in two areas of the library, the Religion and Family History and the Social Science help desks. This survey revealed patrons reflect positively on the delivery of services in these areas. Trainings related to the mission of the organization, empathy, journey mapping, experience planning, and RUSA guidelines were given to the student employees and volunteers staffing the areas. There was not a measurable improvement in service delivery in the short term as a result of the customer service training implemented during the 6-week survey span, but the trainings were still deemed valuable and important. This survey model was successful in providing instantaneous feedback, measuring a baseline of customer satisfaction in our areas, showing trends in service quality, and providing qualitative data from patrons.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplemetary material

supplemental data for this article can be accessed on the publisher’s website.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 646.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.