Updated Apr 23, 2026
Four UK universities are testing whether student feedback analysis can move from a slow manual task to a faster, more decision-ready source of evidence. In a Jisc pilot evaluating AI-assisted analysis of student survey comments, the Open University, the University of Southampton, the University of Leeds, and the University of the West of England will evaluate Student Voice's service for classifying and analysing student comments at scale. The aim is to reduce the time institutions spend working through open-text feedback while giving teams clearer evidence for teaching and student experience decisions.
Student Voice's service processes large volumes of student survey data, including responses from the National Student Survey (NSS). Drawing on data from more than 100 UK higher education institutions, it allows participating universities to benchmark their results against the wider sector rather than interpret comments in isolation. The pilot will test whether AI-assisted text analysis can help teams turn open-text feedback into insight more efficiently, with less manual effort and stronger context for improvement work.
As part of the pilot, participating institutions will receive analysis of several past years of NSS data. That gives teams a stronger basis for spotting patterns over time and benchmarking survey evidence, identifying fresh insights and understanding where their feedback differs from sector norms. Throughout the pilot, institutions will also receive dedicated support from both the NCAI and Student Voice teams as they interpret the findings and assess how the service could fit into their feedback workflows.
Student Voice will work closely with the four institutions as they evaluate the service and its potential to improve how student feedback is analysed and acted upon. The pilot is designed to test not just whether the process is faster, but whether it gives universities more usable evidence from the comments they already collect.
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