University of Greenwich engages Student Voice AI for university-wide free-text analysis
Updated Jul 22, 2026
The University of Greenwich has entered a long-term agreement with Student Voice AI to analyse free-text comments across its survey programme. Greenwich will receive the full analysis and reporting service, with the resulting evidence also available through the integration with evasys.
The agreement establishes an ongoing, university-wide approach rather than a one-off analysis. Applying a consistent method across surveys and over time will help teams see recurring strengths and concerns, understand how experiences vary across the University, and bring qualitative evidence into planning and quality enhancement.
Greenwich's strategic plan places student success at the heart of the University's work. Consistent analysis makes the experiences described in free-text comments easier to consider across organisational levels without losing sight of the underlying evidence.
What the long-term service provides
- Analysis of all valid free-text comments across Greenwich's survey programme
- HE-specific theme classification and sentiment evaluation
- Relevant benchmarks and contextual comparisons where available
- Breakdowns by subject and available student characteristics
- Consistent reporting across surveys and over time
- Summaries for institutional, faculty, school, and programme discussions
- Plain-language briefings and reports with personal identifiers redacted
The result is a shared evidence base that can support quality enhancement at different levels of the University. Senior leaders can see the main institutional patterns, while faculties and programme teams can focus on the evidence most relevant to their students and track how it develops across survey cycles.
Full analysis, available through evasys
Student Voice AI remains responsible for the specialist analysis and full-service reporting. The integration with evasys gives Greenwich an additional way to access the resulting evidence within its established survey workflow.
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, giving Greenwich a reproducible way to compare patterns across its survey programme. Controlled infrastructure, traceability, and redaction support responsible handling and sharing of student feedback.
"Greenwich is making a long-term commitment to use free-text feedback systematically, rather than as a one-off exercise. Our role is to give teams a consistent, evidence-led view across the University's surveys, while the integration with evasys provides another way to access the resulting analysis."
Dr Stuart Grey, Founder and CEO, Student Voice AI
About the University of Greenwich
The University of Greenwich is based across three campuses: Greenwich and Avery Hill in south-east London, and Medway in Kent. Its strategy places student success and evidence-based improvement at the heart of its work.
About the integration with evasys
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.
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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