UCL selects Student Voice AI for comment analysis

Updated Mar 08, 2026

University College London (UCL) has selected Student Voice AI to analyse open-text student comments across the institution. The partnership gives UCL a faster way to turn large volumes of feedback into structured evidence for student experience decisions.

Using machine-learning models, Student Voice AI automatically classifies and analyses student comments, building on its earlier work in AI-assisted analysis of student survey comments, and gives UCL structured, timely reporting on what students are saying about their experiences.

"We're eager to start working with UCL. Our platform enables comparison of data from different surveys, giving UCL a more complete understanding of its students' feedback."

said Dr Stuart Grey, Founder of Student Voice.

The platform will also help UCL benchmark performance against other UK higher education institutions, similar to our AdvanceHE survey comment analysis across more than 100 UK providers, and identify differences in student perspectives by course, age, gender and nationality. That gives teams a clearer basis for prioritising action and understanding where experience varies across the institution.

UCL can also analyse historical survey data from both current and previous systems, making it easier to identify long-term patterns and compare trends over time.

"We're confident that our partnership with UCL will support its efforts to improve the student experience through informed, evidence-based decisions," added Dr Grey.

About University College London (UCL):

UCL is one of the world's leading multidisciplinary universities. Founded in 1826, it operates in the heart of London with a global reach. Committed to high-quality research and teaching, UCL is home to a diverse community of over 50,000 students from 150 countries.

About Student Voice AI:

Student Voice AI provides text analytics for education. Using machine-learning models trained exclusively on UK higher education data and run on controlled infrastructure, it analyses open-text student comments to provide a consistent, comprehensive view of the student experience. Institutions use these insights to inform teaching, learning and quality enhancement while supporting UK GDPR requirements and the original purpose for which survey data was collected.

Contact

Dr Stuart Grey
Founder and CEO
stuart@studentvoice.ai

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