What the study analysed
Interviews, focus groups, document analysis, and social media data, collected across the Lusaka and Chipata districts of Zambia.
How Evidano was used in the study
The researchers describe a dual coding process that combined manual coding with Evidano.
The publication reports the AI-assisted tools supported: keyword extraction and categorisation; pre-processing of large transcription volumes; and identifying initial themes through inductive and deductive coding.
The study states the manual coding was cross-referenced with the AI-generated codes, keeping researcher judgement at the centre of the analysis.
AI assisted. Researchers decided.
The publication sets out a clear split between AI support and researcher judgement.
AI-assisted tools: generated initial code ideas and categories; sped up keyword extraction and pre-processing; offered alternative interpretations and labels.
Researcher judgement: selected and validated the most relevant codes; applied theory, literature, and prior expertise; validated patterns across multiple data sources.
Researcher bias was also addressed through reflexivity, triangulation, and member checking.
Study reference
Lufungulo, E. S., Jia, J., & Mwila, K. (2025). Exploring factors of open educational resources (OER) in Zambian community schools: A qualitative study. Social Sciences & Humanities Open, 11, 101465. Open access under CC BY-NC. Evidano is referenced as one of the AI-assisted tools in the study’s data analysis.
How Evidano fit the workflow
- 1Multi-source data
34 interviews, 2 focus groups, documents, and social media content.
- 2AI-assisted processing
Tools including Evidano extracted keywords, categorised, and pre-processed large transcripts.
- 3Cross-referenced coding
AI-generated codes checked against manual coding.
- 4Codebook to themes
Researchers built the codebook, then interpreted and validated the themes.
“leveraged the strengths of both human and artificial intelligence in uncovering meaningful patterns”
In the study, AI-assisted tools helped pre-process large transcription volumes.
AI codes were cross-referenced with manual coding and human judgement.
Interviews, focus groups, documents, and social media in one workflow.
The tool use was described openly in the study’s methodology.
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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9 themes from the focus group thematic analysis
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9 Teachers interviewed
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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.