The NYU Usability Lab conducted user research on the information architecture (IA) of NYU's Research and Instructional Technology website.
The goal of this research was to understand how NYU’s research and instructional technology services should be presented on the new website to ensure maximum findability and intuitive navigation for users.
Product: The Research and Instructional Technology website serves as an overview of the resources available to researchers and faculty. The website is meant to present potential researchers and faculty with a way to find out more information about the opportunities and services available to them.
Project timeframe: 7 weeks. May-June 2023.
Audience: Researchers and faculty from various schools and academic disciplines.
Stakeholder: NYU IT
Research Method: Moderated and Unmoderated Open Card Sorting
13 participants were recruited (8 staff/faculty and 5 doctoral students). Participants were observed as they grouped the RIT website's services and were asked to think aloud while completing the exercise.
The focus of this card sorting was to uncover how users expect information to be structured, organized and labeled on the RIT website.
The moderated card sorting sessions concluded with a short interview to better understand the participant’s overall thoughts and rationale for the groupings.
Research Sessions: Moderated sessions were conducted one-on-one remotely via Zoom web conferencing and recorded for post-session analysis. Sessions ran for approximately 30 minutes per participant.
Unmoderated sessions were conducted independently by participants.
All participants completed the card sorting exercise on Maze - a research platform that helped synthesize the results.
Analysis: After speaking with a participant, the facilitator reviewed notes and highlighted key insights from each session. Common groupings were collected, along with sources of user confusion to help re-organize the RIT website.
Top takeaways from this research included:
Users typically broke cards out by research services, instructional services, and support services. Users were overwhelmed by the number of services available to them and breaking up services first by more general categories and then by research step/more specific categories seemed to ease concerns about the amount of services available.
Lab’s recommendation: Separate services out between research and instructional services from the start on the RIT website homepage. This gives users a choice between two easy categories to start looking for what they need.
Users were unsure what some services were and needed more context upfront. Users felt that many of the cards could be placed in multiple categories depending on how they might utilize the service (e.g. storing vs sharing data). Users were also unsure what some of the services were.
Lab’s recommendation: Add a blurb about each service under the service title that gives users an idea of what the page is about before they click on it. OR, use the IA of the site to provide context for users (e.g support services vs. learning technologies)
Users felt many of the services belong in more than one group. Users noted that many of the services/cards could be categorized in more than one group. They stated that it depends on how a service is being used, or what specific aspect of the service the card is referring to. For example, is the service titled "3D Printing" referring to the act of doing it or is it referring to the technology behind it? The answer to that question would affect where the service should be categorized.
Lab’s recommendation: Consider adding multiple navigation paths in the information architecture of a page if it is particularly hard to categorize. According to best practices, some repetition in IA is good for users, but be careful not to offer too many navigation options
The product team implemented and published the proposed changes in information architecture on the website.
These changes will enhance the user experience on the RIT website and have the potential to make NYU a more attractive workplace for prospective employees, helping to attract top talent