Webinar: Collecting and making sense of campus feedback with AI

Webinar: Collecting and making sense of campus feedback with AI

On November 19, Touchwork hosted a webinar titled Closing the Loop: How to Collect and Make Sense of Campus Feedback with AI. The session brought together experts from leading institutions to discuss how campuses are transforming feedback collection and audit processes with the help of AI.

Our panelists included:

  • Sommer Dunlevy, M.S., Assistant Director of Marketing, University Housing & Culinary Services, Kent State University
  • Jeffrey Weissinger, Assistant Director – Operational Effectiveness, Vanderbilt University
  • David Corral, MBA, CASP, Associate Director, Dining, Cal Poly Pomona Enterprises

During the webinar, panelists shared how their schools gather feedback from students across dining, housing, and other services. By integrating AI tools like AI Insights, they’ve simplified data analysis, streamlined reporting, and uncovered actionable trends from student input. AI-generated suggested responses have also made it easier to address feedback promptly and consistently, improving trust and satisfaction.

The discussion also highlighted how AI supports audit processes by providing a clear, data-driven overview of performance metrics. This enables teams to measure operational effectiveness and identify areas for improvement.

How campuses are utilizing AI Insights

The webinar showcased several ways schools are leveraging AI Insights to gain actionable insights, save time, and improve operations:

Suggested responses:
AI-generated responses help teams address student feedback quickly and with consistency. For example, when a student submits a dining concern, the system can suggest a professional and empathetic reply based on the issue and sentiment, saving staff time and ensuring responses align with institutional standards.

Suggested response

 

 

 

 

 

 

 

 

 

Smart tagging of sentiment and topics:
AI automatically identifies the sentiment (positive, neutral, or negative) and key topics mentioned in feedback submissions. For instance, a comment like “The vegetarian options have improved, but the seating area is always crowded” is tagged with themes like Menu and Facilities, enabling teams to focus on specific actionable areas.

AI auto-tagging

 

 

 

 

 

 

 

 

 

Comprehensive data analysis:

With customizable prompts, AI Insights allows schools to analyze large datasets of student feedback to uncover trends and metrics. For example:

    • Prompt 1: “What are the top three recurring complaints over the past semester?”
    • Prompt 2: “Which dining locations received the highest positive sentiment ratings in October?”

These insights enable leadership teams to make informed, data-driven decisions and prioritize improvements.

AI summary

 

 

 

 

 

 

 

 

 

 

 

 

 

We want to thank everyone who joined the webinar and our panelists for sharing their experiences. If you missed it, the full recording is available here.

If you’d like to find out more about collecting real-time feedback on campus or how you can add AI Insights to your existing Touchwork data collection tools, contact our team today to explore solutions tailored to your needs.

Other relevant resources

Food safety

Food safety in campus dining: Strategies for success

SMS Marketing

Boosting campus engagement: Best SMS marketing practices

food allergy

The critical need for vigilance in food allergy management

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