Final Evaluation of the UNDP Regional Programme for Latin America and the Caribbean (2022 to 2025)
An independent, mixed-methods evaluation for the United Nations Development Programme. In the data analysis section, the team disclosed using Evidano for structured content analysis of its qualitative data: interviews, open-ended survey responses, case study inputs, and document reviews.
Transparent, traceable, human-led
The publication reports that Evidano use "enhanced the reliability and transparency of the qualitative analysis by ensuring consistent data treatment and traceable coding logic," while helping to manage evaluator workload. Researchers kept full control of interpretation.
How Evidano fit the workflow
The publication reports that Evidano moved raw qualitative data toward structured, traceable analysis.
- 1Unstructured data in
Interviews, open-ended survey responses, case study inputs, and documents.
- 2Systematic coding and themes
Pattern recognition, theme clustering, and identification of emerging insights across sources.
- 3Focused tagging
Specific tagging of issues related to gender, inclusion, partnerships, and performance.
- 4Reviewed by human experts
Analytical judgments, synthesis, and interpretations stayed the sole responsibility of the evaluation team.
“Evidano enabled systematic coding and thematic categorization of extensive unstructured data.”
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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A UN evaluation office used Evidano to scan reports and apply its own coding schema, with researchers reviewing throughout.
Related published evidence
Researcher interviews and published citations covering comparable studies.
- 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
- Published research2025
AI-assisted peer-reviewed policy brief
UK government–funded research across three countries, with AI support
3 countries studied (Sudan, Nigeria, Mali)
SPARC policy brief
- Published research2026
AI-assisted qualitative analysis just showed up in published research
A peer-reviewed 2026 Education Sciences study used Evidano (previously AILYZE) to refine its qualitative analysis, with full researcher oversight.
22 courses' open-ended SET comments analyzed
Education Sciences
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.