Feature
NSS results-day analysis
Analyse NSS free-text comments quickly after results arrive, with all-comment coverage, sector benchmarks, and evidence-ready outputs for leaders.
Features
Student Voice Analytics features
Explore the workflows that turn student survey comments into searchable, benchmarked, reviewable, and report-ready evidence for UK higher education teams.
Feature
Semantic feedback search
Search student feedback by meaning, category, sentiment, year, and survey so teams can answer stakeholder questions without rereading thousands of comments.
Feature
Verbatim evidence
Find and use student verbatim comments as traceable evidence while keeping them connected to theme, sentiment, and survey context.
Feature
Qual and quant analysis
Bring survey scores and open-text comments together so teams can see what changed, why it changed, and where to act next.
Feature
NSS comment benchmarking
Benchmark NSS comment themes and sentiment against sector context so teams can see what is distinctive, typical, or urgent.
Feature
Human-in-the-loop analysis
Combine deterministic ML with human review so student comment analysis remains fast, traceable, and governed.
Feature
Categorisation review
Review and correct student comment categories and sentiment before final reports, dashboards, and exports are generated.
Feature
Demographic analysis
Analyse student feedback by demographic group so teams can see where experience differs and which evidence supports action.
Feature
School reports
Create local student feedback reports for schools, departments, faculties, or campuses using consistent institution-wide analysis.
Feature
Programme analysis
Analyse student comments at programme or course level when survey metadata supports local reporting.
Feature
Power BI exports
Export student comment analysis in BI-ready tables for dashboards, warehouse feeds, and governance reporting.
Feature
Excel insight packs
Deliver student feedback analysis as self-contained Excel workbooks with themes, sentiment, pivots, filters, and comment evidence.
Feature
Report commentary
Produce plain-English student feedback commentary that teams can adapt for committees, action plans, and quality reports.
Feature
Cross-survey search
Search student comments across NSS, PTES, PRES, module evaluations, in-year surveys, and local feedback in one governed workflow.
Feature
NSS comment trends
Track NSS comment themes and sentiment over time with reproducible methods and a stable HE-specific taxonomy.
Feature
Theme trends
Track student comment themes, subcategories, volume, and sentiment across years, surveys, units, and groups.
Feature
Stakeholder reports
Create focused student feedback reports for senior leaders, schools, services, committees, and specialist teams.
Feature
Comment redaction
Review, redact, and curate student comments before verbatim evidence is shared beyond the analysis team.
Feature
All-comment coverage
Analyse every valid student comment and report coverage clearly, including categorised and uncategorised rates.
Feature
Emerging themes
Find new and rising student feedback themes before they are fully established in dashboards or action plans.
Feature
UK HE taxonomy
Classify student comments with a taxonomy designed for UK higher education rather than generic customer experience text.
Feature
Reproducible analysis
Use deterministic, versioned student comment analysis so outputs can be repeated, explained, and compared over time.
Feature
Private AI
Analyse student feedback with controlled data handling, deterministic methods, and institution-safe workflows.
Looking for use cases?
The solutions hub groups these capabilities by institutional problem, from TEF evidence to module evaluation analysis.
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