PurposeThe article presents a methodology that can be used to analyze data from the transaction log of EBSCO Discovery Service searches recorded in Google Analytics. It explains the steps to follow for exporting the data, analyzing the data, and recreating searches. The article provides suggestions to improve the quality of research on the topic. It also includes advice to vendors on improving the quality of transaction log software.Design/methodology/approachCase studyFindingsAlthough Google Analytics can be used to study transaction logs accurately, vendors still need to improve the functionality so librarians can gain the most benefit from it.Research limitations/implicationsThe research is applicable to the usage of Google Analytics with EBSCO Discovery Service.Practical implicationsThe steps presented in the article can be followed as a step-by-step guide to repeating the study at other institutions.Social implicationsThe methodology in this article can be used to assess how library instruction can be improved.Originality/valueThis article provides a detailed description of a transaction log analysis process that other articles have not previously described. This includes a description of a methodology for accurately calculating statistics from Google Analytics data and provides steps for recreating accurate searches from data recorded in Google Analytics.

As in many academic libraries all over the country, attracting and retaining people of color has been a continuous, uphill battle.”“It is a troubling reality that our current librarian ranks do not represent the communities served by libraries.”Sadly, both of these statements, from 2001 and 2003, still hold true today. Sustained attempts to lower barriers for BIPOC (Black, Indigenous, and People of Color), such as through residency programs, have not resulted in their long-term retention, and white librarians still make up the vast majority of degreed librarians. Now is the time to stop this cycle and change the narrative in academic librarianship.