Research Design & Methodology
Turn a research idea into a design that reviewers accept.
Qualitative findings with a transparent path from the data to each theme.
Good qualitative work is systematic. We help you plan sampling and data collection, build a coding framework and record each analytic decision. In mixed-methods studies we plan where the two strands meet and how to report them together.
When you want patterns of meaning across a dataset and flexibility in theory.
When a team needs a structured matrix for comparison, common in health and policy research.
When the aim is to build a theory of a process from the data.
When one strand explains, extends or tests the other.
1
You describe the project through the request form or a call. No data are needed at this stage.
2
We review the design and agree the deliverables, exclusions, timeline and fee in writing.
3
The assigned consultant does the work and records methods, assumptions and changes.
4
A second specialist reviews the methods and outputs before release.
5
You receive the deliverables, the code and a walkthrough session, with the agreed revision rounds.
Yes, and with a plain spreadsheet when the dataset is small. The software does not do the analysis. The framework and the decisions do.
Yes. We analyse in the original language where possible and translate quotations for reporting.
We ask you to remove names and direct identifiers before sharing transcripts, and we work under the confidentiality terms in the proposal.
We can code alongside you and check agreement, and we record who did what. The interpretation remains yours as the researcher.
Turn a research idea into a design that reviewers accept.
From raw data to results you can explain.
Models for forecasting, causal questions and large datasets.
Describe the project in a few minutes. Complex research is quoted after scoping, never from a price list.