Move from aggregate averages to lived experience
Open-text analysis helps teams see how different groups describe assessment, support, belonging, resources, and communication.
Solution
Use open-text student comments to understand differences in experience, barriers to belonging, and evidence for inclusive action.
Student Voice Analytics helps institutions examine student comments through an EDI lens, using approved demographic cuts, HE-specific themes, and reviewed evidence to understand where experiences differ.
See sample outputs, governance notes, and the reporting workflow in a 30-minute walkthrough.
EDI leads, student experience teams, quality teams, and senior education leaders.
EDI work often needs more than a score gap. Comments can show what students experienced, how strongly they felt it, and which barriers need attention, but only if the evidence is structured and handled carefully.
Open-text analysis helps teams see how different groups describe assessment, support, belonging, resources, and communication.
Human review, redaction, and careful grouping help teams use sensitive comment evidence without overclaiming.
Outputs can feed equality action plans, student success work, committee papers, and local enhancement discussions.
Yes. Comment evidence can add context to quantitative gaps and help teams understand what students say is driving the experience.
The workflow is designed for institutional analysis, not individual identification. Sensitive comments should be reviewed and redacted before sharing.
Yes, where the data includes the required metadata and group sizes are suitable for responsible reporting.
Book a walkthrough to see sample reports, search, exports, and governance notes for this Student Voice Analytics workflow.
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