University of Hertfordshire selects Student Voice AI
Updated Mar 16, 2026
The University of Hertfordshire has selected Student Voice AI to turn open-text student feedback into structured insight, giving teams a clearer view of the [student voice across the institution](/what-is-student-voice/).
Student Voice AI uses machine-learning models trained on UK higher education data to classify and analyse student comments consistently. That gives the University of Hertfordshire a stronger evidence base for action, without relying on slow manual review and spreadsheet-based coding.
Using Student Voice AI, the University of Hertfordshire can benchmark the student experience against other higher education institutions across the UK, building on sector-wide survey comment analysis across more than 100 UK providers. The platform also shows how perspectives vary by course, age, gender, nationality, and campus location, helping teams spot where experience differs and where improvement work should focus.
The University of Hertfordshire can also review historical survey data from current and legacy systems, making it easier to compare trends over time rather than treating each survey as a one-off snapshot.
We look forward to working with the University of Hertfordshire. Our platform brings data from different surveys into one place, helping teams compare results and build a fuller picture of student feedback. That supports Hertfordshire's commitment to improving the student experience through evidence-based analysis.
Dr Stuart Grey, Founder of Student Voice
About the University of Hertfordshire:
The scale and diversity of the University of Hertfordshire make institution-wide feedback analysis especially valuable. Founded in 1952 as Hatfield Technical College, it gained university status in 1992. Today it serves more than 32,000 students, including over 13,000 international students from 100 countries, with strong links to industry and a clear focus on employability.
About Student Voice AI:
Student Voice AI helps institutions analyse open-text student comments at scale and turn them into consistent, actionable reporting. Its machine-learning models are trained exclusively on UK higher education data and run on controlled infrastructure, helping institutions support teaching, learning, and quality enhancement while aligning with UK GDPR-aligned governance for student comment analysis and the original purpose for which survey data was collected.
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.
UK-hosted · No public LLM APIs · Same-day turnaround
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