Solution

Turn campus and space comments into evidence for estates decisions

Analyse student comments about study spaces, rooms, facilities, buildings, temperature, access, and campus experience.

Student Voice Analytics helps institutions find and analyse comments about campus space, study areas, buildings, facilities, and room conditions. Search and category filters make estates feedback easier to use.

Discuss your survey

Discuss the source data, reporting question, outputs and delivery window.

Who this is for

Estates teams, student experience teams, planning teams, and senior leaders.

Why it matters

Students often raise estates issues inside general survey comments. Without search and categorisation, comments about rooms, study space, heat, access, or facilities can stay hidden in a wider dataset.

What teams get

Find the comments estates teams need

Semantic and exact search can identify feedback about spaces, rooms, facilities, campus locations, and named buildings.

Separate isolated complaints from recurring patterns

Theme volume, sentiment, and metadata help teams see whether comments point to a persistent issue or a small number of incidents.

Support investment decisions with student evidence

Structured evidence helps estates and student experience teams discuss priorities using the language students used.

How it works

Search and classify comments related to space, estates, facilities, and campus experience.
Filter evidence by survey, year, location, group, or unit where metadata allows.
Review relevant verbatim comments for sensitivity and specificity.
Prepare summaries for estates planning, investment cases, or service reviews.

Outputs

Campus and estates feedback extracts.
Study space and facilities theme summaries.
Named-location comment evidence where available.
Evidence packs for estates and service planning.

Governance and evidence quality

Agree the survey, questions, reporting populations and intended audience before analysis.
Keep category definitions, analysis versions and denominators with the output.
Review relevant comments and ambiguous cases alongside the summary.
Agree data handling, access and the level of detail appropriate for each audience.

FAQs

Can the search find named buildings or locations?

Yes. Exact search can find named locations, while semantic search can find broader space and facilities themes.

Can estates feedback be separated from academic feedback?

Yes. Category filters and search can isolate campus, facilities, and learning environment comments.

Can this support business cases?

It can provide student evidence for investment discussions, especially when paired with usage, capacity, or estates data held by the institution.

See the workflow with your team

Discuss the source data, reporting question and outputs your team needs. Explore the worked example before agreeing the scope and delivery window.