Abertay University selects Student Voice AI for NSS 2026
Updated Jul 22, 2026
Abertay University has selected Student Voice AI to analyse its NSS data. The service will turn Abertay's open-text NSS responses into structured, benchmarked evidence that university teams can use to understand the results, protect strengths, and prioritise further improvement.
Headline NSS scores show where the student experience is strong and where it is changing. Open comments add context to those results. Abertay has reported improvement across six of the seven NSS themes in 2026. The full Student Voice AI service adds a structured view of the qualitative evidence, helping teams distinguish isolated comments from patterns that merit wider attention.
Student Voice AI will analyse every valid open-text response using a consistent methodology designed for UK higher education. The analysis will show the themes students raise, how those experiences differ across the institution, and where Abertay's patterns align with or differ from the wider sector.
What Abertay University will receive
- Complete analysis of valid NSS 2026 open-text responses
- HE-specific theme classification and sentiment evaluation
- Sector benchmarks that place local patterns in context
- Breakdowns by subject and available student characteristics
- Clear summaries for institutional, school, and programme discussions
- Plain-language briefing notes and reports with personal identifiers redacted
Together, these outputs give academic and professional services teams a shared evidence base for quality enhancement. They can see which positive experiences are widely felt, where concerns cluster, and which findings need discussion alongside the quantitative NSS results.
Abertay's Student Success Strategy commits the University to listening to students and using feedback to improve the student experience. Structured analysis makes that feedback easier to consider consistently across organisational levels without losing the detail contained in students' own words.
Student Voice AI uses deterministic supervised learning models trained on UK higher education data. When the method is held constant, the same input produces the same classification, supporting reproducible reporting and meaningful comparisons. Analysis runs on controlled infrastructure, with traceability and redaction built into the workflow to support responsible use of student comments.
"NSS results are most useful when teams can connect the scores with what students actually said. We are pleased to be working with Abertay University to provide a full view of its 2026 open-text feedback, with the sector context and clear reporting needed to move from results to action."
Dr Stuart Grey, Founder and CEO, Student Voice AI
About Abertay University
Abertay University is a modern university based in the heart of Dundee, with roots stretching back to 1888. It combines a strong focus on teaching and graduate work-readiness with research and knowledge exchange. The University is known for working closely with industry and for its expertise in areas including games education and cybersecurity.
About Student Voice AI
Student Voice AI is a UK higher education text-analysis provider. Its deterministic supervised learning models are trained on UK higher education data and run on controlled infrastructure. Student Voice Analytics turns open-text comments into consistent themes, sector context, and clear reporting that institutions can use for teaching, learning, and quality enhancement.
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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