Make the Most of Data Analyzation to Improve Library Website UX
Title
Make the Most of Data Analyzation to Improve Library Website UX
Description
The Web Service Team in Miami University Libraries has conducted a series of user behavior and demographics data collecting. The scripts are generated in Google Analytics and crazyegg.com, and be embedded in the university library websites. This action is under the approval of Human Subject Research Department from the university; and no personal-identified data is recorded.
The intention of collecting user data is simple: the website developers want to have better understanding of our users, in a more objective way; and to adjust the elements in presenting a more attractive, convenient, and human-friendly website. User Experience (UX) is the professional and concise term to express such process.
In this research, a large range of user behavior data have been collected, such as user stickiness, user activities, user events, page traffic, events flow, just name a few. Through the dataset, the developers were able to tell the preferences and trends from users, and to make adjustments. For example, I have noticed an increasing view on the Special Collections webpage during an event of that department. To provide faster access, I chose the top five items and placed them on the library website homepage, which lead to a faster growth of page views on Special Collections. Such decisions rely on large data collections and dataset analyzations, and result to better user experiences.
The intention of collecting user data is simple: the website developers want to have better understanding of our users, in a more objective way; and to adjust the elements in presenting a more attractive, convenient, and human-friendly website. User Experience (UX) is the professional and concise term to express such process.
In this research, a large range of user behavior data have been collected, such as user stickiness, user activities, user events, page traffic, events flow, just name a few. Through the dataset, the developers were able to tell the preferences and trends from users, and to make adjustments. For example, I have noticed an increasing view on the Special Collections webpage during an event of that department. To provide faster access, I chose the top five items and placed them on the library website homepage, which lead to a faster growth of page views on Special Collections. Such decisions rely on large data collections and dataset analyzations, and result to better user experiences.
Creator
Qu, Meng
Source
2020 CALA Annual Conference Poster Session
Publisher
Chinese American Librarians Association
Date
2020-06-24
Relation
2020 CALA Annual Conference
Format
application/pdf
Language
eng
Type
Poster; Text
Position: 291 (303 views)
Files
Collection
Citation
Qu, Meng, “Make the Most of Data Analyzation to Improve Library Website UX,” CALASYS - CALA Academic Resources & Repository System, accessed December 10, 2024, https://ir.cala-web.org/items/show/705.