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Data Hub methodology

How Unifresher turns student voice into evidence

We use different research formats for different jobs, and label them accordingly. The aim is simple: publish useful student insight without making the evidence sound stronger than it is.

Evidence labels

Structured surveys and audience polls are not the same thing

Keeping the formats separate makes it easier for readers, search engines and journalists to understand what each result can support.

Structured survey

Original Unifresher research

A planned questionnaire with a defined recruitment route, achieved sample, fieldwork period, multiple questions and deeper analysis. The 2026 Student Experience Survey was fielded through Pollfish with 500 UK respondents recorded as students.

Indicative audience poll

First-party Unifresher audience insight

Quick questions put directly to the Unifresher Instagram audience. Polls are published with the exact response total, collection date, raw counts and a clear statement that the result is indicative rather than representative of all UK students.

Structured survey workflow

From questionnaire to published finding

The 2026 survey uses a transparent chain from the original response to the final public claim.

01

Design

Unifresher defines the research questions, exact wording and answer formats.

02

Fieldwork

Responses are collected through the documented recruitment route and time period.

03

QA and coding

Counts are reconciled, open-text answers are coded, derived measures are documented and problematic fields are held back.

04

Publish

Results appear with counts, bases, wording, methodology, limitations, citation guidance and licensing.

2026 survey decisions

How the Student Experience Survey is reported

The methodology page should make the decisions behind the live result explicit.

Primary seriesUnweighted raw responses from the 500 completed respondents.
Why not stratified?Pollfish supplied stratified values, but the export does not identify the benchmark as a UK-student population. Until that benchmark is confirmed as appropriate for students, Unifresher keeps the public result directly tied to the achieved sample.
Multi-select questionsPercentages can add to more than 100%. Derived combinations are only used when the combined answer options are stated.
Open-text Q2Practical-skill answers are editorially coded into multiple themes. A single response can contribute to more than one theme.
Open-text Q13Financial-coping answers use multi-label thematic coding with additional care around food deprivation and other sensitive responses. Results are published in aggregate.
Accommodation cost Q3Mixed weekly, monthly, annual and non-applicable entries are being normalised before a hard cost figure is published. The question is deliberately excluded from current headline statistics.
Cross-question analysisDifferences between groups are described as associations within the achieved sample. They are not presented as causal effects.
Sensitive topicsLoneliness, mental health, food deprivation and social pressure are reported using the wording the questionnaire actually measured, without diagnosis or sensationalism.
Poll standards

How ongoing audience polls are published

Polls are deliberately lighter-weight than the structured survey, but they still publish enough information for the result to be checked.

Exact sample

The response count is stated, not implied.

Collection date

The fieldwork date stays attached to the finding.

Raw counts

Percentages are backed by the original answer totals.

Indicative label

Poll results are not described as representative of all UK students.

Corrections and reuse

Research should remain checkable after publication

Possible data issues can be sent to editorial@unifresher.co.uk. Media and reuse questions can be sent to press@unifresher.co.uk.

Why the public survey uses unweighted results

We chose the series we can explain clearly

Pollfish supplied both raw and stratified results. The export does not identify a benchmark population specifically designed to represent UK students, and some stratified results move materially away from the achieved 500-response sample. Until that benchmark is confirmed as appropriate for the student population, Unifresher uses the unweighted results as the public editorial series.

Directly tied to respondents

Every published raw percentage can be traced directly back to the number of respondents who selected that answer.

No hidden population claim

We do not use weighting to imply that the study represents every UK student when the supplied export does not establish that benchmark.

Reviewable later

If a suitable UK-student weighting benchmark is documented later, the methodology can explain any revised weighted series separately rather than silently replacing the original result.

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