How to Structure a Qualitative Research Project Before Coding

Coding works better when the project around it is already coherent.

Before the first transcript is coded, researchers should know what evidence belongs in the study, how sources are identified, what counts as a case and where analytical decisions will be recorded.

Start with the research questions. They should guide the analytical structure without determining every code in advance.

Distinguish sources from cases. A source may be an interview or document; a case may be a participant, household, community, organisation or time period. One case can contain several sources.

Define useful case attributes early if later comparison may depend on site, participant group, research round or other contextual dimensions.

Decide whether coding begins deductively, inductively or through a combination. Avoid building an elaborate final codebook before researchers have engaged with the evidence.

Create places for memos, consequential decisions and contradictory cases from the beginning. These records are much easier to maintain prospectively than reconstruct later.

Multilingual projects should decide how original-language material, translations and important expressions will be handled before coding scales up.

If AI will be used, define its role deliberately and identify tasks that remain human-led. Data suitability should be checked before sensitive material enters any external system.

A small project does not need complicated infrastructure. Stable source IDs, a source register, case structure, initial codebook, memo space and decision log may be enough.

The purpose is not to lock the analysis down. It is to give interpretation somewhere reliable to develop.