University of Leeds selects Student Voice AI
Updated Mar 28, 2026
22/09/2025, Glasgow, United Kingdom. The University of Leeds has selected Student Voice AI to turn institution‑wide open‑text student feedback into comparable, benchmarked insight that faculties, schools and programme teams can act on quickly.
Universities already collect thousands of open comments through surveys such as the NSS (see how we analyse open-text NSS comments), module evaluations and internal feedback. Without a consistent way to classify and report them, those comments are hard to compare over time and even harder to turn into action. Student Voice AI will help Leeds bring these sources together so teams can track themes and sentiment year on year, compare disciplines, and act on evidence rather than anecdote.
Alongside sector benchmarking, the service gives Leeds outputs designed for faculty, school and programme discussions. Reports are written in plain language, and automatic redaction removes names and other identifiers so insights can be shared appropriately (see our student comment analysis governance checklist for data protection and audit trail considerations). That makes it easier for teams to discuss findings, prioritise improvements, and agree next steps.
What Leeds will receive:
- Theme and sentiment analysis across surveys and internal feedback (see our sentiment analysis guide for UK universities for how sentiment is interpreted)
- Benchmarks to show how Leeds' patterns compare with the wider sector
- Segmentation by level of study, year group, mode of study, campus and discipline
- Summary reporting for faculties, schools and programmes that highlights positives and pain points by theme
- Automated redaction to remove personal identifiers before reports are shared
Student Voice AI runs on controlled infrastructure without third‑party model providers (see Student Voice Analytics vs generic LLMs for governance and reproducibility considerations). This gives Leeds a reproducible, governance-ready way to analyse student feedback while supporting UK GDPR and the original purpose for which the data was collected.
About the University of Leeds:
The University of Leeds is a research‑intensive Russell Group university founded by Royal Charter in 1904. Based in Leeds, it teaches more than 38,000 students from over 170 countries across seven faculties.
About Student Voice AI:
Student Voice AI is a specialist provider of text analytics for UK education. Its machine‑learning models are trained exclusively on UK higher‑education data and run on controlled infrastructure, so institutions get a consistent, comprehensive view of student comments. Universities use the outputs to inform teaching, learning and quality enhancement while supporting UK GDPR requirements and the original purpose for which survey data was collected.
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
- The Best Text Analysis Software for Education
- King's College London partners with Student Voice AI
- NSS open-text analysis methodology for UK HE
- Sentiment analysis for UK universities: a practical guide
- Student comment analysis governance checklist for UK HE