Final Evaluation of the UNDP Regional Programme for Latin America and the Caribbean 2022–2025
An independent, mixed-methods evaluation commissioned by UNDP’s Regional Bureau for Latin America and the Caribbean and published on the UNDP Evaluation Resource Centre, where it received a Satisfactory quality rating. In the data analysis section, the team disclosed using Evidano for structured content analysis of its qualitative data: more than 70 key informant interviews, open-ended responses from a survey of all 26 Country Offices, two deep-dive case studies, 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. Spanish-language transcripts were translated and human-verified before analysis, and 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.
“...the Evaluation employed AILYZE, an AI-assisted qualitative analysis platform that enabled systematic coding and thematic categorization of extensive unstructured data.”
“AILYZE facilitated pattern recognition, theme clustering, and the identification of emerging insights across interviews and documents, while allowing specific tagging of issues related to gender, inclusion, partnerships, and performance.”
“Its use enhanced the reliability and transparency of the qualitative analysis by ensuring consistent data treatment and traceable coding logic, while also helping to manage evaluator workload given the breadth and scale of information reviewed.”
“All analytical judgments, synthesis, and interpretations remained the sole responsibility of the Evaluation Team.”