Data & analysis

Qualitative analysis

Qualitative analysis is judged on transparency. An examiner wants to see how you moved from a transcript to a theme, and to be able to trace any claim in your findings back to the data it came from.

Suited to

Interview and focus-group studies
Document, policy and media analysis
Mixed-methods projects needing the qualitative strand handled properly
Students with transcripts and no idea how to get from them to findings

Quote for this service

01In practice

How this actually works

We code systematically using an approach appropriate to your design — inductive thematic analysis, framework analysis, qualitative content analysis, or grounded-theory coding where the design genuinely calls for it.

Work is done in NVivo, ATLAS.ti, MAXQDA or a documented manual process, depending on what your department uses and what you have access to.

The output includes the coding structure itself, not only the finished chapter. That is what makes the analysis auditable rather than asserted.

02Scope

What is delivered

Written down so there is nothing to discover later.

You receive

A coding framework showing codes, categories and themes with definitions
Coded transcripts or a project file in your chosen software
A findings chapter organised by theme, evidenced with selected extracts
An audit trail linking each theme back to its supporting data
Reflexivity and trustworthiness sections where your discipline expects them

Not included

We do not conduct interviews or focus groups on your behalf
We do not transcribe or analyse recordings you do not have consent to share
We do not invent participant quotations

03Process

From brief to delivery

Familiarisation
Reading the full dataset before coding anything, so themes emerge from the data rather than from the first transcript.
Coding
Systematic coding with a documented framework, refined as the dataset is worked through.
Theme development
Codes grouped into themes that answer the research question, with the boundaries between them defined.
Writing up
A findings chapter that uses extracts as evidence for analytic claims rather than as decoration.

04Questions

About qualitative analysis

More general questions about how we work are answered on the FAQ page.

How do I share transcripts safely?

Send anonymised or pseudonymised transcripts only — participant names and identifying details removed before they reach us. Under GDPR you remain the controller for your research data, and your ethics approval will normally require that anonymisation happens before sharing.

How many interviews are enough?

Qualitative work is judged on saturation and depth, not count. Many Master’s projects work well with eight to fifteen well-conducted interviews. What matters is whether new themes stopped appearing, and whether you can show that.

Can you do both thematic analysis and a quantitative strand?

Yes. For mixed-methods projects we handle both strands and, importantly, the integration section — where the two sets of findings are brought into conversation rather than reported side by side.

05Related

Statistical analysis

SPSS, R, Stata and Python — with output explained well enough to defend.

Methodology

A design you can actually execute, justified well enough to survive a viva.

Systematic reviews

Protocol-driven reviews reported to PRISMA, with a reproducible search.

Dissertation & thesis

Full-length Bachelor’s, Master’s and doctoral projects, delivered chapter by chapter.

Start here

Get a quote for qualitative analysis

Send the assessment criteria and your department’s guidance with the brief. Those decide the shape of the work more than the topic does. We reply within a few hours on working days.

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What to have ready

The assessment criteria or handbook
Your deadline and word count
Anything already written or approved

Not sure which service you need? Describe the project and we will tell you — including when the cheaper one is enough.