NSS results-day analysis
Prepare a clear account of teaching, assessment, support and resources alongside your NSS scores, with topic counts and comments to review.
Student Voice Analytics features
Follow the work from comments to a usable report.
Explore the analysis, review and reporting capabilities, then agree the combination your survey project needs.
Three questions for the evaluation.
What does the analysis show?
Examine topics, sentiment and the population behind each measure.
Understand the measuresHow will we review it?
Check the source comments, ambiguous cases and the definitions used.
Prepare the reviewWhat will colleagues receive?
Agree the output, audience and work needed after the report arrives.
Use the buyer’s guide
Explore the capabilities.
Semantic feedback search
Search student feedback by meaning, category, sentiment, year, and survey so teams can answer stakeholder questions without rereading thousands of comments.
Verbatim evidence
Find and use student verbatim comments as traceable evidence while keeping them connected to theme, sentiment, and survey context.
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.
NSS comment benchmarking
Compare NSS comment themes and sentiment with a documented sector reference. Check population, questionnaire period and reporting thresholds before interpreting differences.
Human-in-the-loop analysis
Combine deterministic ML with human review so student comment analysis remains fast, traceable, and governed.
Categorisation review
Review and correct student comment categories and sentiment before final reports, dashboards, and exports are generated.
Demographic analysis
Analyse student feedback by demographic group so teams can see where experience differs and which evidence supports action.
School reports
Create local student feedback reports for schools, departments, faculties, or campuses using consistent institution-wide analysis.
Programme analysis
Analyse student comments at programme or course level when survey metadata supports local reporting.
Power BI exports
Export student comment analysis in BI-ready tables for dashboards, warehouse feeds, and governance reporting.
Excel insight packs
Deliver student feedback analysis as self-contained Excel workbooks with themes, sentiment, pivots, filters, and comment evidence.
Report commentary
Produce plain-English student feedback commentary that teams can adapt for committees, action plans, and quality reports.
Cross-survey search
Search student comments across NSS, PTES, PRES, module evaluations, in-year surveys, and local feedback in one governed workflow.
NSS comment trends
Track NSS comment themes and sentiment over time with reproducible methods and a stable HE-specific taxonomy.
Theme trends
Track student comment themes, subcategories, volume, and sentiment across years, surveys, units, and groups.
Stakeholder reports
Create focused student feedback reports for senior leaders, schools, services, committees, and specialist teams.
Comment redaction
Review, redact, and curate student comments before verbatim evidence is shared beyond the analysis team.
All-comment coverage
Analyse every valid student comment and report coverage clearly, including categorised and uncategorised rates.
Emerging themes
Find new and rising student feedback themes before they are fully established in dashboards or action plans.
UK HE taxonomy
Classify student comments with a taxonomy designed for UK higher education rather than generic customer experience text.
Reproducible analysis
Use deterministic, versioned student comment analysis so outputs can be repeated, explained, and compared over time.
Private AI
Analyse student feedback with controlled data handling, deterministic methods, and institution-safe workflows.
See how the pieces fit your survey.
Discuss the source data, reporting question and the outputs your colleagues need.