Optimizing Discovery Systems to Improve User Experience: The Innovative Librarian's Guide

Bonnie Imler and Michelle Eichelberger

ISBN-13: 9781440843822

136 pages • 6⅛ x 9¼
Year Published: 2017

Two authors with more than 40 years of combined library experience tap into their wealth of knowledge about discovery and user experience, sharing proven methods for setting up, promoting, and teaching their own discovery systems.

Discovery systems are the new one-stop search model for libraries, but simply implementing the software doesn't ensure that it will meet your users' search needs. This book looks at how discovery systems are actually used by examining the findings of several user experience (UX) studies, providing data and observations that will inform your decisions about selecting, implementing, and enhancing this software.

This book provides library practitioners who choose, administer, and interact with discovery systems with insight for establishing or fine-tuning a discovery system. You will understand how the use and effectiveness of the top discovery systems compare to more traditional databases and web resources, get insight into the comparative strengths and weaknesses of the best-selling discovery systems, and examine the UX research findings of the authors on student response and faculty response. You'll also learn about key configuration options that help or hinder search success with these systems and affect content selection, linking software setup, and interlibrary loan processes. The book concludes with recommended best practices for promoting discovery systems, including web design, placement on the library's website, getting coworkers on board, and PR ideas.

Features

• Provides a comprehensive guide that helps librarians make a library discovery system work better for their specific community
• Examines how system design and careful fine-tuning can greatly improve system efficacy
• Explains how usability and user experience studies should be used to assess and evaluate system performance
• Describes how to use UX data to inform tutorials and instruction for more efficient patron research