What the study analyzed
A semi-structured interview study on the challenges and coping strategies of middle-level leaders in public elementary schools. The publication describes a thematic analysis workflow run through Evidano.
How Evidano fit the workflow
From raw transcripts to a researcher-editable report.
- 1Upload transcripts
Eight interview transcripts were loaded into Evidano for analysis.
- 2Themes and codebook
Thematic analysis produced a structured codebook of 3 themes and 12 subthemes.
- 3Quotes and frequency
Key quotes were linked by viewpoint and topic, with frequency charts and per-file analysis.
- 4Review and export
Researchers edited the outputs, then exported the report as DOCX or XLSX.
“...positioning AI as a powerful assistant that not only enhances the efficiency of qualitative data processing but also empowers researchers to concentrate on higher-level interpretation.”
Manual vs AI-assisted
Manual coding across every transcript. Slow theme identification. Quotes pulled by hand.
Draft codebook generated, then refined. Themes surfaced for researcher review. Quotes linked automatically by topic.
The publication frames a human-in-the-loop model where researchers keep interpretive control.
Themes, quotes and summaries can be revised, with sources linked back to transcripts.
Summaries, frequency charts and per-file analysis support interviews, focus groups and open-ended responses.
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
AcademiaResearchers 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.
AcademiaA 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.
AcademiaResearchers 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.
Related published evidence
Researcher interviews and published citations covering comparable studies.
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Explore more evidence
Researcher interviews, the wording authors published when citing Evidano, and accuracy comparisons against manual coding.
- Resource
Research spotlights: researchers in their own words
Interviews with researchers at leading universities and institutes about how they actually used Evidano in work they went on to publish.
- Resource
How Evidano was used, in published methods sections
Verbatim excerpts from 20 published studies describing what Evidano did in their analysis — as a thought partner, a second coder, for initial coding, or for synthesis.
- Resource
Methodology guides and research writing
Practical guides to qualitative methods — thematic analysis, grounded theory, evidence synthesis and more — alongside the wider Evidano article library.
- Resource
Human vs AI: validated accuracy benchmarks
Three head-to-head comparisons against expert human analysis — 371 interview transcripts with Arizona State and Penn State, 298 evaluation reports for a UN evaluation group, and UNICEF’s manual-coding review.