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University of Portsmouth
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| Faculty | Subjects | Avg | SD | Range | Concerns |
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| School | Subjects | Avg | SD | Range | Concerns | SITS courses |
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| Subject | Fac | School | Overall | Resp | Concern | Conf. |
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| Q | Question | Positivity | Benchmark | Gap |
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| Theme | Sector | Faculty | University | vs Uni |
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| H | Question | Positivity | Benchmark |
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| Theme | Subjects improving | Subjects declining |
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Auto-generated SWOT following the faculty analysis template: for each course/subject, school and faculty — the 3 strongest and 3 weakest question sets vs the University of Portsmouth KPI, diagnosed to the question driving each. Entries highlighted show significant variation (>5 points from the UoP KPI). Use free-text comments and Level 5 course survey data for context, then keep only the entries that matter — the template asks for 3 strengths and 3 challenges, 1–2 sentences, with question numbers.
| Course / subject | Area of Strength 1 | Area of Strength 2 | Area of Strength 3 | Challenge 1 | Challenge 2 | Challenge 3 |
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NSS public data is at CAH subject level (no course titles), so each CAH subject is auto-mapped to a faculty + school using the CAH code (reliable for faculty) with school names from the University structure (SITS / catalogue). Low-confidence rows are worth checking; reassign any subject on the Subjects tab.
| Subject | CAH | Faculty | School | Reason |
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| Subject | CAH | Overall |
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