I provide professional qualitative data analysis services for researchers, postgraduate students, PhD candidates, and academic research projects using NVivo, MAXQDA, and ATLAS.ti. My services cover both Thematic Analysis and Interpretative Phenomenological Analysis (IPA), with analysis carefully aligned to the research questions, methodology, and study objectives.
Thematic Analysis
- Systematic coding of interview and qualitative data
- Development and refinement of codes, categories, subthemes, and themes
- Participant-level and cross-participant analysis
- Identification of patterns, similarities, differences, and divergent views
- Development of thematic maps and codebooks
- Linking findings directly to research questions
- Clear, evidence-based presentation of themes using participant quotations
- Support with findings/results chapter development
Interpretative Phenomenological Analysis (IPA)
- Detailed idiographic analysis of individual participant accounts
- Exploratory commenting and experiential statements
- Development of emergent themes
- Participant-by-participant analysis
- Identification of convergence and divergence across cases
- Development of experiential and superordinate themes
- Reflexive memos and analytic notes
- Interpretation of participants’ lived experiences and meaning-making
Benefits to Your Research
✔ Rigorous and systematic analysis – Your qualitative data is analysed through a structured and transparent process rather than simply summarising interview responses.
✔ Strong alignment with your research questions – Codes and themes are developed with attention to what your study is actually asking.
✔ Preserves participants’ voices – Findings remain grounded in participants’ own experiences and quotations.
✔ Goes beyond description – The analysis identifies patterns, relationships, meanings, similarities, and differences within the data.
✔ Methodologically appropriate – The analytical approach is matched to your chosen methodology, whether thematic analysis, IPA, or another qualitative framework.
✔ Clear audit trail – Coding structures, categories, themes, memos, and analytical decisions can be organised systematically.
✔ Saves research time – Reduce the hours spent manually sorting, comparing, and organising large volumes of qualitative data.
✔ Makes findings easier to write – A well-developed coding and thematic structure provides a clear foundation for your Results/Findings chapter.
✔ Works with major qualitative analysis software – NVivo, MAXQDA, and ATLAS.ti workflows can be used to organise and analyse your data.
✔ Suitable for dissertations and doctoral research – The analysis can be structured to support academically defensible research findings.
I don't just code your transcripts; I help transform qualitative data into a structured, research-question-driven analysis that you can use to build your findings.