This study reports on the examination of search transaction logs from web-scale discovery tools at two IndianaT o improve user experiences, libraries continuously seek methods to better understand how users interact with their services. Reviewing actual user interactions-such as chat or e-mail transcripts, online resource usage reports, and search transaction logs-provides the opportunity to identify recurrent themes among resources used, topics of inquiry, and potential research obstacles. Search transaction logs are a particularly attractive dataset for analysis due to their comprehensive nature, as well as their ability to reveal both users' information needs and trends in search behaviors.This study reports on the examination of search transaction logs from two web-scale discovery tools at two academic libraries. Libraries have increasingly adopted web-scale discovery tools over the past several years, and many libraries have implemented these systems as the first line of approach on their websites.1 This prime placement invites usage from all types of users and results in a rich dataset that spans user disciplines and demographics. Analysis of discovery tool transaction logs is a choice assessment strategy because it is anonymous, non-intrusive, and comprehensive. In this paper, the authors discuss how they gathered and classified search queries from transaction logs and then used text analysis tools to identify which subjects were being searched, as well as the complexity of users' searches. The search transaction logs allowed the authors to develop a more captivating message for teaching faculty and librarians regarding the direct ties between discovery tool usage and assigned coursework. This messaging will help deepen campus partnerships to improve users' information literacy skills.