What UK Students Say About Student Support: NSS Feedback Analysis (23,254 Comments, 2018–2025)
Students are broadly positive about how support services help them navigate their course and personal circumstances, with a clear uplift among mature and part‑time cohorts. Gaps remain for disabled students and some subject areas where the tone is notably weaker.
Key findings
- 23,254 comments analysed across UK programmes (2018–2025)
- The prevailing tone is supportive and appreciative: almost seven in ten comments are positive.
- Experience varies by profile. Mature students (index 39.8) and part‑time learners (36.7) are more positive than young (30.0) and full‑time (31.6) cohorts.
What are students saying in this category?
- The prevailing tone is supportive and appreciative: almost seven in ten comments are positive. Students most often credit staff who respond quickly and resolve issues.
- Experience varies by profile. Mature students (index 39.8) and part‑time learners (36.7) are more positive than young (30.0) and full‑time (31.6) cohorts. Apprentices (n=137) are highly positive (index 55.7), albeit on a small base.
- Disabled students are less positive (index 28.0) than their non‑disabled peers (35.1), pointing to uneven access or outcomes.
- By broad subject area (CAH1), tone is strongest in Education and teaching (45.1) and Subjects allied to medicine (40.3). It is comparatively weaker in Law (24.1) and Medicine and dentistry (25.4).
Benchmarks by subgroup (aggregate 2018–2025)
| Group |
n |
Positive % |
Negative % |
Sentiment idx |
| Age — Young |
15,880 |
66.9 |
31.5 |
30.0 |
| Age — Mature |
6,891 |
72.7 |
25.5 |
39.8 |
| Disability — Not disabled |
15,859 |
70.0 |
28.4 |
35.1 |
| Disability — Disabled |
6,921 |
65.5 |
32.8 |
28.0 |
| Mode — Full‑time |
17,144 |
67.8 |
30.6 |
31.6 |
| Mode — Part‑time |
5,450 |
70.9 |
27.4 |
36.7 |
| Mode — Apprenticeship |
137 |
81.8 |
17.5 |
55.7 |
| Sex — Female |
16,161 |
69.3 |
29.2 |
33.9 |
| Sex — Male |
6,560 |
67.1 |
30.9 |
30.8 |
Subject area spread (CAH1): top and bottom by sentiment (n ≥ 700)
| Tier |
Subject area (CAH1) |
n |
Positive % |
Negative % |
Sentiment idx |
| Top |
Education and teaching |
700 |
76.6 |
22.4 |
45.1 |
| Top |
Subjects allied to medicine |
2,732 |
73.9 |
24.6 |
40.3 |
| Top |
Design, and creative and performing arts |
738 |
71.7 |
27.5 |
38.4 |
| Top |
Business and management |
1,587 |
71.6 |
26.4 |
37.8 |
| Top |
Language and area studies |
824 |
70.1 |
27.8 |
35.9 |
| Bottom |
Law |
1,093 |
64.1 |
34.2 |
24.1 |
| Bottom |
Medicine and dentistry |
829 |
62.8 |
35.9 |
25.4 |
| Bottom |
Computing |
826 |
66.3 |
31.6 |
28.7 |
| Bottom |
Biological and sport sciences |
857 |
67.2 |
31.3 |
29.7 |
| Bottom |
Historical, philosophical and religious studies |
913 |
66.2 |
32.5 |
30.9 |
What this means in practice
- Close the gap for disabled students
- Guarantee rapid triage (e.g., next business day) and named case ownership.
- Standardise accessible communications and proactive follow‑ups until resolution.
- Track time‑to‑resolution and reasons for delay; publish a simple monthly summary.
- Strengthen support for young and full‑time cohorts
- Offer extended hours and multiple contact routes (drop‑in, phone, live chat).
- Package signposting into a single “front door” with clear next steps and timeframes.
- Build short onboarding refreshers at key assessment points.
- Target subject‑level pain points
- Co‑design support touchpoints with Law and Medicine & Dentistry schools (e.g., dedicated clinics, embedded liaison roles).
- Share practices from high‑performing areas (Education, Allied to medicine) where response and follow‑through are working well.
- Protect what works
- Maintain quick, human responses and visible resolution. Keep apprentices’ experience strong as numbers grow.
How Student Voice Analytics helps you
- Track this topic’s volume and sentiment over time, with drill‑downs from provider to school and course.
- Like‑for‑like comparisons across CAH subject areas and student demographics (age, disability, mode, domicile), plus cohort or site segmentation.
- Export concise, anonymised summaries and tables to brief programme teams and professional services without additional analysis overhead.
Data at a glance (2018–2025)
- Volume: 23,254 comments; 100% sentiment coverage.
- Overall mood: 68.6% Positive, 29.7% Negative, 1.6% Neutral (index 32.9).
- Notable differences: Mature (+39.8) and part‑time (+36.7) above average; disabled (+28.0) below; strongest subjects include Education (+45.1) and Allied to medicine (+40.3); weaker in Law (+24.1) and Medicine & dentistry (+25.4).