What the study did
A researcher at UFMG evaluated AI for qualitative coding in migration studies. The same interview transcript was coded three ways: manually, with Atlas.ti, and with Evidano.
The transcript came from a study of 14 semi-structured interviews with Indigenous Pataxó migrants in Belo Horizonte, complex cultural data with several layers of meaning.
How Evidano fit the workflow
- 1Interview transcript
Raw qualitative data
- 2Evidano analysis
Thematic analysis in under a minute
- 37 themes
A synthesis ready for the researcher to review
“The Evidano system works at a much more satisfactory level of synthesis.”
“Its use as a research aid is already possible and can contribute significantly to the analysis of qualitative data in migration research.”
How the three approaches compared on one interview
| Dimension | Manual coding | Evidano |
|---|---|---|
| Time | ~40 min | < 1 min |
| Output | 12 codes | 7 themes; a clearer, more usable synthesis |
Atlas.ti: < 1 min, 120 codes in 5 groups; the author found this too many to categorize. The author reports Evidano's results were more usable than the other AI tool tested.
In the study, 40 minutes of manual coding became under a minute.
7 clear themes, rather than 120 fragmented codes to untangle.
The tool was named and evaluated openly in a published paper.
The paper frames AI as augmenting, not replacing, human judgment.
About Evidano (previously AILYZE)
Evidano is AI-assisted qualitative data analysis software for interviews, focus groups, open-ended survey responses, and documents. It supports AI-assisted thematic analysis with your own or an AI-suggested codebook, transcription and translation in 100+ languages, clickable quotes and citations, and exportable visual reports. End-to-end encryption, no third-party data sharing, and your data is not used to train AI. From USD 50/month for unlimited analysis.
Run the first pass in days, not weeks
Keep the judgment with you. Let Evidano do the heavy lifting on your interviews, focus groups, open-ended responses, and documents.
More case studies
Researchers at Oxford and Melbourne used AI to analyse their interview data
Evidano helped analyse interview transcripts in a peer-reviewed study, then was checked against manual coding.
A Stanford-led study used AI to cross-check its qualitative coding
A published mixed-methods study uploaded deidentified transcripts into Evidano to cross-check themes. Every AI code was reviewed by the researcher.
Researchers used AI for qualitative analysis. Human experts reached the same conclusions.
A published Cornell study used Evidano (previously AILYZE) for thematic analysis, and human experts reached the same conclusions.
