Solution

Turn module evaluation comments into feedback teaching teams can use

Organise module evaluation comments into themes and sentiment, then prepare reports for module and programme review with clear coverage, context and disclosure rules.

Student Voice Analytics can analyse exported module evaluation comments and prepare agreed reports for module, programme or school teams. The aim is to make recurring strengths and concerns easier to investigate while retaining the context of the question and course.

Book a Student Voice Analytics demo

See sample outputs, governance notes, and the reporting workflow in a 30-minute walkthrough.

Who this is for

Academic quality teams, module evaluation leads, programme teams, and faculty leaders.

Why it matters

Module feedback arrives across courses, questions and teaching periods. A report needs to preserve those differences, handle small classes carefully and give local teams something specific to discuss with students.

What teams get

Keep the module context

Retain the module, question and teaching period where available. A comment about an assessment task should not become an unsupported judgement about a whole programme.

Find strengths and recurring concerns

Review themes and mixed sentiment with supporting examples. Include classification errors and uncategorised comments in quality checks.

Support review and follow-through

Use reports to agree an action, owner and response to students. Compare later feedback only where questions and populations are sufficiently consistent.

How it works

Agree the reporting purpose, modules, questions and teaching periods.
Export permitted comment text and necessary module or programme fields.
Review themes, sentiment and coverage with appropriate small-group controls.
Prepare reports for teaching teams and agree how findings will be discussed and followed up.

Outputs

Module summaries where reporting thresholds are met.
Programme or school views with documented inclusion rules.
Theme and sentiment tables with denominators.
Evidence and questions for annual monitoring and student follow-up.

Governance and evidence quality

Coverage, accuracy and respondent representativeness are different checks; report exclusions and review classification decisions.
Compare matching questions, populations and analysis versions. Document where comparisons are unavailable.
Agree access, retention and disclosure rules before using source comments in reports.
Keep source findings distinct from suggested actions and local interpretation.

FAQs

Does this replace our module evaluation system?

It can work with exported comments alongside your existing collection process. Agree export requirements and permissions before analysis.

Can the reports rank individual lecturers?

Comments alone are not a sound basis for a performance ranking. Any individual-level reporting needs an approved purpose, adequate evidence, context and disclosure controls.

Can module comments be compared with NSS?

Some topics overlap, but question wording, timing and student populations differ. Use a shared taxonomy to explore themes without treating the measures as equivalent.

See the workflow with your team

Book a walkthrough to see sample reports, search, exports, and governance notes for this Student Voice Analytics workflow.