Updated Jul 22, 2026
The University of York will access free-text comments categorised and analysed by Student Voice AI through the integration with evasys. This gives relevant university teams a structured view of the experiences and themes within the qualitative feedback.
Free-text comments contain detail that rating scales cannot capture alone. They show what respondents value, where experiences differ, and which concerns recur often enough to merit wider attention. The challenge is making that evidence usable when comments are spread across a large dataset.
Student Voice AI provides a consistent, HE-specific approach to organising the material. It categorises comments into themes, identifies recurring patterns, and creates a structured evidence base that teams can use alongside the wider results.
Student Voice AI carries out the analysis using deterministic supervised learning models trained on UK higher education data. The integration with evasys then gives York access to the resulting evidence within its established survey environment.
When the method is held constant, the same comments receive the same classification on repeat analysis. This supports reproducible interpretation and gives teams a consistent basis for discussing patterns in the comments. Analysis runs on controlled infrastructure, with governance, traceability, and responsible handling considered throughout.
"Free-text feedback becomes more useful when teams can move from individual comments to a consistent view of the themes within them. Through the integration with evasys, York can access Student Voice AI's categorisation and analysis in an established survey environment and bring that evidence into its quality discussions."
Dr Stuart Grey, Founder and CEO, Student Voice AI
The University of York is a research-intensive university founded in 1963 and a member of the Russell Group. Its founding values centre on excellence, equality, and opportunity, expressed today through its purpose as a university for public good.
evasys provides survey and evaluation software for higher education. Through the integration with evasys, participating institutions can access Student Voice AI analysis within an established survey and reporting environment.
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 structured evidence that institutions can use for teaching, learning, and quality enhancement.
Dr Stuart Grey Founder and CEO stuart@studentvoice.ai
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