Newcastle University selects Student Voice AI for free-text analysis across its survey programme

By Dr Stuart Grey

Updated Jul 22, 2026

Newcastle University has selected Student Voice AI to analyse free-text comments across its survey programme, beginning with NSS 2026. The university-wide programme will give teams a consistent way to turn qualitative feedback into structured evidence for discussion and action.

The programme starts with full analysis of Newcastle's NSS 2026 open-text responses. It will then extend the same structured approach across the University's other surveys, while preserving the purpose and context of each feedback exercise.

Starting with NSS gives teams an immediate opportunity to consider students' comments alongside the headline results. As further surveys are analysed, a consistent framework will make it easier to identify recurring experiences, compare contexts, and see where apparently separate comments form a wider pattern.

What the survey analysis programme will provide

Analysis of valid open-text responses across Newcastle's surveys, beginning with NSS 2026
HE-specific theme classification and sentiment evaluation
NSS sector benchmarks and relevant contextual comparisons for other surveys where available
Breakdowns by subject and available student characteristics
Consistent summaries for institutional, school, and programme teams
Plain-language briefing notes and reports with personal identifiers redacted

These outputs will help teams move from individual comments to a shared view of priorities without losing the context of each survey. Positive patterns can be identified alongside concerns, and evidence from different feedback exercises can be discussed through a consistent structure.

Newcastle's Education for Life strategy sets out its commitment to inclusive, future-ready education and was developed with colleagues and students. A structured view across the University's surveys supports that work by making large bodies of feedback easier to interpret consistently and discuss at the right organisational level.

Student Voice AI uses deterministic supervised learning models trained on UK higher education data. When the method is held constant, the same comments receive the same classification on repeat analysis, supporting governance and comparison across survey cycles. The initial NSS analysis follows a documented open-text methodology, while controlled infrastructure, traceability, and redaction help teams use student comments responsibly.

"Newcastle University is taking a joined-up approach to qualitative survey evidence. Beginning with NSS 2026 and extending across its survey programme will give teams a consistent way to see recurring themes, compare contexts, and use students' comments in decision-making."

Dr Stuart Grey, Founder and CEO, Student Voice AI

About Newcastle University

Newcastle University is a research-intensive civic university rooted in Newcastle upon Tyne and globally connected. With origins dating to 1834, it advances education, research, and creativity for public benefit and is a founding member of the Russell Group.

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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