Turn qualitative themes into quantitative evidence

Turn reviewed themes into variables you can test.

After coding and reviewing the source records, save themes as project variables alongside structured survey data.

Raw responses → AI-assisted coding → Themes + verbatims
→ Convert to variables → Cross-tab against quant → Test statistically

Let qualitative evidence enter the same analysis.

Once themes become project columns, they behave like survey variables: filters, banners, significance tests, key-driver analysis, and segmentation can all work on coded qual. AI can generate or apply a codebook, while researchers review records, refine descriptions and examples, merge or split themes, and re-apply codes across the dataset.

Keep the words attached to the numbers.

Open text no longer has to sit in a separate appendix or be exported for a manual merge. Every code remains traceable to source phrases, so verbatims can explain the quantitative pattern in the same workflow. From there, use linked quant and qual analysis to investigate the questions that follow.

Make the transition from theme to evidence explicit.

The important step is not simply producing a list of topics. It is turning a reviewed interpretation into a variable with a defined meaning and a visible source path. That lets a researcher state exactly which respondents are included in a theme, compare them with other groups, and decide whether the pattern is strong enough to carry into the study’s conclusions.