Support for analyzing interviews, focus groups, open-ended responses and documents systematically, with an approach that fits your research philosophy and a clear audit trail of how interpretations were reached.
Qualitative approaches differ in what they are for. Reflexive thematic analysis identifies patterns of meaning across a dataset and suits many applied and exploratory questions. Content analysis ranges from counting categories to interpretive coding of texts, while discourse analysis examines how language constructs meaning, identity and power. Grounded theory aims to build an explanatory theory from data through constant comparison, and interpretative phenomenological analysis (IPA) explores in depth how a small number of people make sense of a particular experience.
Choosing between them depends on your research question, epistemological stance and sample. If you have already chosen an approach but need help with the software side — setting up an NVivo, ATLAS.ti or MAXQDA project, organizing codes, running queries or exporting evidence — the CAQDAS service covers that. In every case, the interpretation remains yours; we help you apply the method rigorously and document it.
Guidance through Braun and Clarke's six phases, help choosing between reflexive, codebook and coding-reliability TA, and feedback on codes, theme maps and your write-up while you remain the analyst.
Help designing a coding frame, sampling texts and testing reliability for content analysis, or choosing and applying a discourse-analytic framework such as Fairclough's CDA, with you leading the interpretation.
Coaching through grounded theory coding in the version you have chosen — Glaser, Strauss and Corbin or Charmaz — with feedback on codes, memos, categories and the emerging theoretical model.
Case-by-case coaching through IPA, from exploratory noting to personal and group experiential themes, with attention to idiography, the double hermeneutic and up-to-date terminology.
Hands-on help structuring a CAQDAS project — documents, cases, attributes, codebooks, memos, queries and visualizations — and using the software's AI features transparently and within your ethics approval.
Tell us what you’re working on and where you’re stuck. We’ll recommend the right kind of help and send a quote.