Scope. UK NSS open-text comments for Design Studies (CAH25-01-03) students across academic years 2018–2025.
Volume. ~5,238 comments; 96.9% successfully categorised to a single primary topic.
Overall mood. Roughly 55.9% Positive, 40.8% Negative, 3.3% Neutral (positive:negative ≈ 1.37:1).
Design Studies students talk first about their physical and digital environment. General facilities are the single largest topic (8.3% share), and the tone is clearly positive (sentiment index +23.2), sitting broadly in line with the sector. The wider resources picture is mixed: Learning resources (2.3%) and Library (1.6%) are positive, while IT facilities (2.6%) lean negative (−10.4). In short, facilities matter and are noticed when they work well; IT reliability and access are more contested.
Teaching and support are strengths. Comments about Teaching Staff are frequent (7.2%) and notably positive (+39.6), with Delivery of teaching also positive (+12.2). Students value people-centred support: Student support (+22.3), Personal Tutor (+22.1) and the Availability of teaching staff (+42.7) all trend positive. Growth themes are strong too—Personal development carries one of the highest tones in the file (+61.3), and Career guidance & support is both more common than sector and well-received (+33.8). Community-facing topics such as Student life (+42.0) and opportunities to work with other students (+17.0) add to the positive picture.
Operational delivery remains a friction point. Scheduling/timetabling (3.1%) is clearly negative (−25.1); Organisation and management of the course (2.6%) is also negative (−20.2), and Communication about course and teaching (1.6%) is more negative still (−38.2). Remote learning (2.3%) trends negative (−15.4). Together, these “delivery mechanics” account for ~11% of all comments and lag sector on tone.
In Assessment & Feedback, the volume sits high and the story is nuanced. Feedback appears in 7.4% of comments and is near‑neutral on tone (+2.3), a markedly better position than the sector. However, clarity remains a pain point: Marking criteria (2.5%) is strongly negative (−41.9), and Workload (1.8%) is very negative (−44.0). Costs/value-for-money (3.8%) is a prominent and very negative theme (−54.5). By contrast, some topics are less present than sector—Module choice/variety (1.8% vs 4.2%) and Placements/fieldwork (1.4% vs 3.4%), with placements, where mentioned, tending positive (+22.8).
| Category | Section | Share % | Sector % | Δ pp | Sentiment idx | Δ vs sector |
|---|---|---|---|---|---|---|
| General facilities | Learning resources | 8.3 | 1.8 | 6.5 | +23.2 | −0.2 |
| Feedback | Assessment & feedback | 7.4 | 7.3 | 0.1 | +2.3 | +17.4 |
| Teaching Staff | The teaching on my course | 7.2 | 6.7 | 0.5 | +39.6 | +4.1 |
| Type & breadth of course content | Learning opportunities | 6.7 | 6.9 | −0.2 | +25.5 | +2.9 |
| Student support | Academic support | 5.7 | 6.2 | −0.5 | +22.3 | +9.1 |
| Personal development | Learning community | 5.3 | 2.5 | 2.9 | +61.3 | +1.5 |
| COVID-19 | Others | 4.7 | 3.3 | 1.4 | −35.4 | −2.4 |
| Career guidance, support | Learning community | 4.4 | 2.4 | 1.9 | +33.8 | +3.8 |
| Costs / Value for money | Others | 3.8 | 1.6 | 2.2 | −54.5 | −1.7 |
| Delivery of teaching | The teaching on my course | 3.7 | 5.4 | −1.7 | +12.2 | +3.4 |
| Category | Section | Share % | Sector % | Δ pp | Sentiment idx | Δ vs sector |
|---|---|---|---|---|---|---|
| Costs / Value for money | Others | 3.8 | 1.6 | 2.2 | −54.5 | −1.7 |
| Marking criteria | Assessment & feedback | 2.5 | 3.5 | −1.1 | −41.9 | +3.8 |
| COVID-19 | Others | 4.7 | 3.3 | 1.4 | −35.4 | −2.4 |
| Scheduling/timetabling | Organisation & management | 3.1 | 2.9 | 0.2 | −25.1 | −8.5 |
| Organisation & management of course | Organisation & management | 2.6 | 3.3 | −0.8 | −20.2 | −6.2 |
| Remote learning | The teaching on my course | 2.3 | 3.5 | −1.2 | −15.4 | −6.4 |
| IT Facilities | Learning resources | 2.6 | 1.2 | 1.4 | −10.4 | +3.6 |
Shares are the proportion of all Design Studies comments whose primary topic is the category. Sentiment index ranges from −100 (more negative than positive) to +100 (more positive than negative).
| Category | Section | Share % | Sector % | Δ pp | Sentiment idx | Δ vs sector |
|---|---|---|---|---|---|---|
| Personal development | Learning community | 5.3 | 2.5 | 2.9 | +61.3 | +1.5 |
| Availability of teaching staff | Academic support | 2.1 | 2.1 | 0.0 | +42.7 | +3.3 |
| Student life | Learning community | 3.0 | 3.2 | −0.2 | +42.0 | +9.9 |
| Teaching Staff | The teaching on my course | 7.2 | 6.7 | 0.5 | +39.6 | +4.1 |
| Career guidance, support | Learning community | 4.4 | 2.4 | 1.9 | +33.8 | +3.8 |
| Type & breadth of course content | Learning opportunities | 6.7 | 6.9 | −0.2 | +25.5 | +2.9 |
| General facilities | Learning resources | 8.3 | 1.8 | 6.5 | +23.2 | −0.2 |
Keep the physical and digital environment predictable. Publish an up‑to‑date facilities and IT status page, with clear ownership, uptime targets and booking transparency. Small wins—faster fixes, visible maintenance schedules, quick user guidance—compound sentiment in high‑volume categories.
Protect the operational rhythm. Students want fewer surprises. A single source of truth for timetables and changes, a weekly “what’s new” digest, and lightweight change‑freeze windows around assessment peaks reduce avoidable frustration in scheduling, organisation and comms.
Make assessment clarity non‑negotiable. Retain the progress on Feedback (now near‑neutral and above sector), and tackle Marking criteria head‑on: use annotated exemplars, concise rubrics/checklists, and routine marker calibration; set and communicate realistic turnaround SLAs.
Address value concerns directly. Share full and transparent cost expectations (what is essential vs optional), offer low‑cost alternatives where feasible, and signpost hardship routes early—especially in modules with known cost pinch‑points.
How to read the numbers. Each comment is assigned one primary topic; share is that topic’s proportion of all comments. Sentiment is calculated per sentence and summarised as an index from −100 (more negative than positive) to +100 (more positive than negative), then averaged at category level.
Student Voice Analytics turns open‑text survey comments into clear, prioritised actions by tracking topics, sentiment and change over time for any discipline, including Design Studies. It supports whole‑institution views as well as fine‑grained department and school analysis, producing concise, anonymised summaries and representative comments for programme teams and external stakeholders—without trawling thousands of responses.
Crucially, it lets you evidence improvement with like-for-like sector comparisons across CAH codes and demographics (e.g., year of study, domicile, mode of study, campus/site, commuter status). You can segment by site/provider, cohort and year of study to see where interventions move sentiment most, and export ready‑made outputs (web, deck, dashboard) to share priorities and progress across the institution.