Jenzabar Chatbot

Powered by artificial intelligence (AI), Jenzabar Chatbot acts as an always-on, digital engagement channel that works with any student information system (SIS). Jenzabar Chatbot allows you to empower students to get answers quickly through a convenient, easily navigable, and readily available source of information. Direct students through an automated, self-service channel for more commonly asked questions to free up time for your staff to engage personally with students on more complex challenges.

Jenzabar Chatbot also prompts users with an easy, one-click micro-satisfaction survey using familiar emoticons upon every interaction, providing real-time insight into student happiness. This instant feedback allows you to gain insight into student satisfaction. It provides a window into what students are thinking, feeling, and concerned about so you can identify trends, respond to student needs, and mitigate risk faster and more efficiently.

In my role as a Front End Engineer (Software Engineer III) on the Chatbot & Analytics team, I focus on integrating Artificial Intelligence components into our chatbot product and developing responsive web applications. Utilizing technologies like React and Remix, I ensure our applications perform seamlessly across various devices. My work involves close collaboration within agile teams, participating in two-week sprints, and using Azure and Azure DevOps for project management. I'm also tasked with debugging, troubleshooting, and resolving complex software issues to maintain the quality and consistency of our software architecture.

Gallery images below were created as part of a POC that I created over a weekend to suggest a tech stack and UI option for our new live agent app. All work completed on chatbot and live agent projects, as part of my work as the front-end developer, can be seen on Jenzabar product pages.