This blog post reflects on the work of students to explore the collection-related needs of undergraduate students, through surveys and interviews.
This blog post presents how the use of multiple streams of data benefited two recent U-M Library studies. For example, one recent study merged survey data, U-M human resources data, and Library document delivery data to provide a very rich picture of how diverse groups on campus use and experience the Library’s document delivery service. Some advantages of joining multiple data sources in assessment projects are discussed in the context of the two example studies.
In three blog posts, the authors describe a multi-year library service design project. This last post describes the team’s prototyping and testing processes, and our resulting interactive exercise.
In three blog posts, the authors describe a multi-year library service design project. This second post describes the research process used to develop our user experience tool.
In three blog posts, the authors describe a multi-year library service design project. This first post describes the origins and goals of the assessment project.
Chances are the work processes you already have in place are generating data that you could be using to learn more about those processes. In this second blog post, the author continues to highlight steps for working with data that is generated by your daily tasks.
Chances are the work processes you already have in place are generating data that you could be using to learn more about those processes. In two blog posts, the author shares some steps for working with data that is generated by your daily tasks.
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