The published study
Effective early intervention strategies for supporting children with special educational needs: a case study
Original Research in Frontiers in Education, published 18 February 2026. A qualitative, interpretive single-case study of an early intervention center in the United Arab Emirates, drawing on semi-structured interviews with nine purposively selected teachers.
How Evidano (previously AILYZE) was used
The team followed Braun and Clarke's six-phase thematic analysis. Interviews were transcribed and translated from Arabic and English, then Evidano categorized participants' direct quotes into codes and themes. The study reports that the tool preserved the original wording and did not modify the data.
How Evidano fit the workflow
- 1Researchers defined the themes
The study reports that AI did not create or interpret themes; it only categorized quotes under themes predefined by the researchers.
- 2Evidano categorized the quotes
Participants' direct quotes were assigned to codes and themes, with their original wording preserved.
- 3The team verified every allocation
Researchers manually checked each categorization, described as similar to an inter-rater agreement process, and reassigned quotes across themes where appropriate.
“AILYZE is an artificial intelligence (AI) tool used to classify data based on generated themes. It was chosen because it specializes in analyzing qualitative data and prioritizes data security.”
“After AI categorization, the research team manually verified all allocations to ensure accuracy, similar to an inter-rater agreement process.”
Sorting hundreds of quotes into codes and themes by hand, across multiple languages, before any verification can begin.
Quotes categorized into your predefined themes in minutes, leaving the team free to focus on verification and interpretation.
The study reports that all data uploaded to Evidano (previously AILYZE) is encrypted and inaccessible to anyone else.
Per the study, content is used solely to provide the requested service and is not utilized for training AI models.
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.
- Published research2024
A William & Mary research team used Evidano (previously AILYZE) to analyze 3,443 participants’ open-ended responses
AI-assisted thematic analysis, verified by human researchers, in a published Mensa Foundation report.
3,443 participants in the study
Mensa Foundation report
- Published research2026
A UCLA dissertation ran three separate AI-assisted analyses of its qualitative data
A UCLA dissertation used Evidano for initial coding and theme generation across journals and interviews, then reviewed and refined every result.
18 students in the qualitative sample
UCLA Electronic Theses and Dissertations (eScholarship, University of California)
- Published research2026
A University of Split thesis used AI to triangulate its thematic coding
Initial thematic coding was processed through Evidano to support analytic triangulation, then reviewed and verified by the authors.
8 in-depth interviews
Croatian Digital Theses Repository (ZIR)
Explore more evidence
Researcher interviews, the wording authors published when citing Evidano, and accuracy comparisons against manual coding.
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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.
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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.
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Methodology guides and research writing
Practical guides to qualitative methods — thematic analysis, grounded theory, evidence synthesis and more — alongside the wider Evidano article library.
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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.