University of Exeter selects Student Voice AI
Updated Apr 06, 2026
Reviewing thousands of survey comments manually makes it harder to spot patterns quickly. The University of Exeter has selected Student Voice, a specialist in text analytics for education, to classify open-text comments from both its internal and national surveys, giving teams a faster, more consistent view of what students are saying.
Through this partnership, the University of Exeter will automate the labelling and sentiment analysis of survey comments, reducing the time required to review feedback manually. Student Voice's machine learning classifiers will also analyse several years of historical data, helping teams understand how feedback on teaching and the wider student experience has shifted over time, and how local patterns compare with sector-level trends in NSS open-text comments.
About the University of Exeter
The University of Exeter is a research-intensive university with campuses in Exeter and Cornwall and a strong reputation for student satisfaction. It is one of the few universities to be both a member of the Russell Group and a Teaching Excellence Framework (TEF) Gold institution, reflecting its reputation for excellence in teaching and research. That emphasis on teaching quality makes timely, reliable analysis of student feedback especially valuable.
Contact
Dr Stuart Grey
Founder and CEO
stuart@studentvoice.ai
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See all-comment coverage, sector benchmarks, and reporting designed for OfS quality and NSS requirements.
- All-comment coverage with HE-tuned taxonomy and sentiment.
- Versioned outputs with TEF-ready reporting.
- Benchmarks and BI-ready exports for boards and Senate.
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