Student Voice AI selected by HEFCW for national survey analysis
Updated Apr 03, 2026
HEFCW has selected Student Voice to analyse 2023 [National Student Survey (NSS) open‑text feedback](/resources/nss-open-text-analysis-methodology/) across Wales. The partnership gives institutions and sector leaders a clearer view of what students are saying, and where action is needed most.
Student Voice uses machine‑learning models for text analysis in education to classify and analyse student comments at scale. This turns large volumes of NSS feedback into structured insight, helping institutions identify common issues, compare patterns, and focus improvement work where it will matter most.
The project covers eight higher education institutions, together serving more than 100,000 students in Wales:
- Aberystwyth University
- Bangor University
- Cardiff Metropolitan University
- Cardiff University
- Grŵp Llandrillo Menai
- Open University in Wales
- Swansea University
- University of South Wales
It will also include several further education providers offering higher education courses, broadening the evidence base and giving HEFCW a fuller picture of student experience across the country.
Student Voice's models will enable HEFCW to compare results with feedback from more than 100 other higher education institutions across the UK. That benchmarking will help HEFCW distinguish local issues from wider sector patterns, and understand how student voice evidence varies by course, age, gender, nationality, and other groupings.
It's an honour to work with HEFCW on this important mission. Our platform will provide a comprehensive view of student feedback from the NSS, delivering critical insights into the student experience throughout Wales. We're confident that this partnership with HEFCW will support their continuous efforts to enhance student experience throughout Wales through data-driven decisions.
Dr Stuart Grey, Founder of Student Voice
About Student Voice AI:
Student Voice AI is a UK provider of 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 governance for UK HE comment analysis under UK GDPR requirements and the original purpose for which survey data was collected.
About the Higher Education Funding Council for Wales (HEFCW): HEFCW is a Welsh Government Sponsored Body responsible for the funding and oversight of higher and further education in Wales. It works with institutions to support quality, promote research, and strengthen learning and teaching.
Request a walkthrough
Book a free Student Voice Analytics demo
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
Related Entries
- Student Voice AI selected by Jisc for education pilot
- Student Voice AI selected to analyse AdvanceHE data
- Bangor University selects Student Voice AI
- Open University in Wales selects Student Voice AI
- NSS open-text analysis methodology for UK HE
- Student comment analysis governance checklist for UK HE