Approaches to Library Assessment Using Multiple Data Sources

Image of 3 circles, representing a survey, a data store, and a library shelving area.

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.

Applying Iterative Design to Assessment

Iteration in the design thinking process: Understand, Explore, and Materialize categories, with steps of empathize, define, ideate, prototype, test, implement.

A project team charged with providing staff training activities approached the project assessment with an iterative design lens, allowing for responsive and timely development of multiple opportunities for staff engagement around organizational and personal change. The team tried out different assessment techniques related to the opportunities offered.

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