The study at a glance
The synthesis was commissioned by the UNESCO IOS Evaluation Office to assess performance across UNESCO's Major Programmes. The team ran a thematic analysis of the fifty reports against the synthesis questions. The publication reports that this analysis was supported and triangulated with results from Evidano (previously AILYZE), with the synthesis findings remaining researcher-led.
How Evidano fit the workflow
- 1Fifty evaluation reports as input
Four corporate and forty-six decentralized evaluations, plus UNESCO strategy and planning documents.
- 2Thematic analysis
Common threads were identified across evaluations to gather evidence against the synthesis questions.
- 3Supported and triangulated with Evidano (previously AILYZE)
The publication reports that results from Evidano (previously AILYZE) helped support and cross-check the team's analysis.
“The analysis of the fifty evaluation reports and relevant UNESCO strategic and planning documents was further supported and triangulated with results emerging from an analysis conducted with the help of the AI tool AILYZE.”
“developed specifically for evaluation purposes and is increasingly tested and applied across several United Nations Agencies evaluation offices.”
Two ways to work through qualitative data
Manual reading and coding of dozens of documents. Slow, repetitive triangulation by hand. Hard to scale across a large, varied corpus.
AI-assisted thematic analysis across many documents. Faster cross-checking and triangulation. Researchers keep review, interpretation and sign-off.
The study describes its AI tool use openly, an example of disclosing AI-assisted analysis in a methods section.
In the synthesis, Evidano (previously AILYZE) supported and triangulated the analysis while researchers retained interpretation and judgement.
Fifty multi-scale reports spanning sectors and regions, the kind of large, varied qualitative corpus Evidano is designed for.
The publication notes Evidano (previously AILYZE) is increasingly tested and applied across several UN agency evaluation offices.
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.
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Related published evidence
Researcher interviews and published citations covering comparable studies.
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AI-assisted qualitative analysis just showed up in published research
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22 courses' open-ended SET comments analyzed
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62 higher education institutions use Evidano
Evidano surfaced themes across six quarters of data from a 62-institution consortium, with researchers validating every finding.
62 consortium institutions whose data was analyzed
Published research example
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.
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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.
