NVivo excels for deep, researcher-led qualitative projects. For institution-wide, recurring survey cycles, Student Voice Analytics delivers all-comment coverage, HE-tuned taxonomy, sector benchmarks, and TEF-style outputs with BI exports—time-to-insight measured in days, not terms.
Our point of view: for TEF/Board reporting, governance and reproducibility are first-class requirements. That means versioned runs, residency options, and audit-ready documentation backed by sector benchmarks.
TEF/NSS reference points: OfS — quality & standards, NSS.
At a glance
Choose the workflow built for recurring NSS/PTES/PRES cycles.
| Criteria | Student Voice Analytics Institution-wide reporting | NVivo Research teams |
|---|---|---|
| Use-case fit | High-volume survey comments; recurring cycles | Research projects; small/medium corpora |
| Throughput | Automated across all comments | Manual or semi-manual coding |
| Consistency | Standardised HE taxonomy; repeatable runs | Researcher-dependent variability |
| Benchmarks | Built-in sector context | Manual/external |
| Governance | Versioned; TEF-ready documentation; BI exports | Depends on coding protocol and documentation |
Compare deeper: Student Voice Analytics vs NVivo and Build vs Buy.
Talk to the team
Book time with the team to map current survey coverage, governance requirements, and handover timelines.
UK-hosted · No public LLM APIs · Average response time < 1 working day.
Best for recurring, high-volume surveys where benchmarks and reproducibility matter.
Best for granular, researcher-led coding and exploratory studies.
Trusted in UK HE
Sector leaders use Student Voice Analytics to shorten time-to-insight on NSS/PTES/PRES and module comments.
“Just to say how absolutely 'mind-blown' my UCL colleagues were at the speed and quality of the analysis and summaries that Student Voice Analytics provided us with on the day of the results! Talk about embracing AI - this really helped us to get the qualitative results alongside the quant ones and encourage departmental colleagues to use the two in conjunction to start their work on quality enhancement. Without the free text analysis being available straight away, that message we've tried so hard to bed in loses so much value!”
Professor Parama Chaudhury
Pro-Vice Provost (Education - Student Academic Experience), University College London
“With written comments from tens of thousands of students across over 100 institutions we needed to find a way of exploring this data. Working with Student Voice Analytics we were able to discuss reports customised to our needs, producing results that our partner institutions have found useful. It makes a real difference working with a company coming from the HE sector, as they can talk and collaborate in a way that we value and that our clients are familiar with.”
Jason Leman
Surveys Executive, AdvanceHE
Pair Student Voice Analytics for all-comment, benchmarked institutional runs with a small NVivo sample for staff development and qualitative depth (retain 5–10% for calibration and QA).
Need clarity?
Quick answers to procurement and implementation questions we hear most often.
Talk to the team
Book time with the team to map current survey coverage, governance requirements, and handover timelines.
UK-hosted · No public LLM APIs · Average response time < 1 working day.
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