The research context
The 2025 brief synthesised in-depth case studies on farmer–herder conflicts and food systems, drawn from field research conducted between 2023 and 2025. It was peer reviewed (including by a reviewer from the UN DPPOA Mediation Support Unit).
How Evidano fit the workflow
How AI assistance fit alongside the researchers, not in place of them.
- 1Three in-depth country reports
Field studies from Sudan, Nigeria and Mali provided the source material.
- 2Evidano summarised key points
Evidano distilled key points across the three reports as a building block.
- 3Authors wrote and synthesised
Named researchers authored, interpreted and structured the final brief.
- 4Peer reviewed and published with disclosure
AI use was stated openly in the publication, with a DOI on record.
“Evidano (previously AILYZE) was used to produce policy brief from the three country reports.”
AI use can be disclosed in a publication — a defensible, auditable record rather than a hidden step.
In this brief Evidano supported synthesis while researchers kept authorship and judgement.
Multi-country interviews and focus groups are exactly the kind of qualitative data this kind of tool helps structure.
AI-assisted qualitative work is showing up in funded, peer-reviewed outputs. An early-mover workflow advantage.
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
AI-assisted analysis vs manual coding. UNICEF ran both.
Same 160 evaluations, two methods. See where Evidano matched human analysts and where humans stayed essential.
UN now using AI in evaluations
Inside a 2025 UN Development Programme evaluation: transparent, human-reviewed AI qualitative analysis.
AI-assisted qualitative analysis, used in a published UNESCO synthesis
Evidano (previously AILYZE) supported and triangulated the analysis behind UNESCO's 2025 Synthesis of Evaluations. See how AI-assisted qualitative analysis is being used, and disclosed, in published research.
Related published evidence
Researcher interviews and published citations covering comparable studies.
- Published research2025

A UNESCO evaluation used Evidano to analyze its reports.
A UN evaluation office used Evidano to scan reports and apply its own coding schema, with researchers reviewing throughout.
230 museum-related records refined with Evidano
Evaluation of UNESCO’s Museums Programme, IOS Evaluation Office
- Published research2025

A United Nations World Food Programme evaluation analyzed its qualitative data with Evidano
A published United Nations World Food Programme evaluation disclosed Evidano (previously AILYZE) in its data analysis methods.
47 Key informant interviews
United Nations World Food Programme decentralized evaluation
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.
