Improve Discovery Analytics with Search Pattern Insights
Countless libraries use discovery analytics to analyze how their patrons are searching for information, but the value of the reports available currently tend to be limited in an actionable nature. A dashboard that identifies and indicates metrics such as the number of zero result searches, the number of queries refined before they were eventually completed, the number of searches that were abandoned, and the most commonly used filter combinations may allow librarians and staff to identify where there are gaps in metadata, enhance visibility of resources, and make data-driven decisions without having to export their statistics into another tool.
When I researched information architecture and web usability practices, the following link contains some helpful insights: https://www.arvindsylva.in/. Also found were numerous technical sources that provide additional insight into various approaches to organizing digital information. Continuously reading about changeable methods of organizing digital content creates insight as to how 'library discovery systems' were implemented in practical applications. Adding types of search tools (e.g., 'query from bottom up') will allow libraries to more easily improve students', researchers', and faculty's use of their products.
This product suggestion reads as if it were intended to provide legitimate information; it lists the URL as an informal reference to supplement an existing post on the forum utilizing a similar format as the existing posts.