NYU Langone Health
How might we provide Learning Management System users with more timely technical support while promoting easier self-service on the platform?
Team
1 Instructional Designer | 2 Developers
Timeline & Status
September 2021 ~ December 2021, Shipped
My Role
I conducted user research to pinpoint issues in Brightspace's troubleshooting system. I then conceptualized and developed a chatbot troubleshooting system, overseeing the entire process from conception to the UI, with a focus on improving support for faculty and administrators.
Outcome
The new chatbot troubleshooting solution increased user self-sufficiency, with 90% successfully rediscovering Brightspace resources. This efficiency is expected to reduce support ticket submissions by 60%, emphasizing the positive impact on user satisfaction and issue resolution.
Reviewing Support Tickets Records
To gain a better understanding of the problem space, I reviewed the BrightSpace support ticket tracking for the past three months.
Heuristic Walkthrough
Together with my team, I evaluated the usability of these areas on Brightspace based on the top 3 common problems from the support tickets.
User Interviews
To learn more about primary users' experience and needs, I conducted user interviews and distributed a survey to faculty and administrators who were unable to participate in the interview.
Stakeholder Interviews
I interviewed the Assistant Director to learn about the technical constraints and the business objectives of this project.
Taking up to 48 hours to get response
Issues may repeat
In the user interviews, 99% of users never opened those user guides links.
Furthermore, in our research on learning management systems, we discovered a growing trend to use chatbots in recent years.
Chatbot landing page - How to create a clear navigation system?
Integrating chatbot with user guides - How to improve discoverability and accessibility?
Design system - How to keep visual consistency?
It takes too many clicks to go back to the main menu.
Team would not want users to choose submitting support tickets as their primary option, instead they want to redirect them to FAQs to find answers themselves.
The chatbot conversation feels too robotic, and users don't know if they are talking to a live agent or a chatbot.
It's hard to search and view FAQs on the small chatbot window.
The navigation is confusing.
The original Google Doc has accessibility issues.
Self-service - Users feel easy to use the chatbot to resolve problems on their own.
More Efficient - 90% users were able to rediscover Brightspace user guides and tutorials, and we can expect support tickets to decrease by 60%.
Consistency - Users feel thet chatbot design is consisitent with other NYU Langone Health websites.
Building Trust - In providing a new troubleshooting system with multiple options, it meets users' needs better and builds trust between users and Education IT.