01/09/2025 — Glasgow, United Kingdom — Student Voice AI, the UK’s leading text‑analytics provider for education, is delighted to confirm a new partnership with Lancaster University to analyse open student feedback across the institution with detailed reporting for faculties and departments.
The service classifies qualitative comments into themes and sentiment and produces like‑for‑like outputs across datasets and years. With sector comparison, Lancaster can understand performance in context and identify strengths and gaps at discipline level.
Delivery focuses on clear outputs and structured reports. Generative reports turn analysis into concise, plain‑language briefings tailored to senior and programme audiences, and automatic redaction removes names and other identifiers so material can be shared with confidence.
Insights can be segmented by level of study, year group, mode of study, campus and discipline to guide decisions at programme, faculties and departments and institution level. Each faculty or department and each programme receives a summary report, including summaries of positive and negative comments across a full range of categories. Reporting is written for straightforward use in faculty or departmental meetings and in action planning.
Student Voice AI runs on controlled infrastructure without third‑party model providers, aligning with UK GDPR and the original purpose for which student feedback was collected.
About Lancaster University:
Lancaster is a research‑intensive university with a distinctive collegiate community. It combines strong research performance with an excellent student experience, a green campus and close partnerships in the UK and internationally.
About Student Voice AI:
Student Voice AI is the UK’s leading provider of text‑analytics for education providers. Using machine‑learning models run on controlled infrastructure, it analyses open‑ended student comments to provide a clear, comprehensive view of the student experience. Institutions use these insights to inform teaching, learning and quality enhancement while aligning with UK GDPR and the original purpose for which survey data was collected.