Three stakeholder groups, one decision
The team gathered perspectives from potential tourists via an online survey, from residents of three villages via semi-structured interviews, and from local government unit (LGU) officials via in-depth interviews. Fifteen officials were interviewed across three municipalities in Bohol and Leyte, five in each, with interviews averaging 58 minutes.
Results across all three groups were combined into a weighted scoring matrix to identify which municipality had the highest ecotourism potential.
Valence coding inside the thematic analysis
The LGU interviews were the qualitative strand run through Evidano. Rather than open thematic coding alone, the team applied valence coding, classifying each informant's responses as positive, neutral, or negative based on identified words and phrases, with behavioural observations from the interviews used as a complementary criterion.
That structure let the study compare LGU support directly against resident interest and tourist demand within the same scoring framework.
How Evidano fit the workflow
Interviews in two languages, coded to a defined scheme.
- 115 key-informant interviews conducted
Officials with at least three years of public service and direct influence over the initiative, interviewed in Cebuano or English.
- 2Interviews recorded with informed consent
Explicit consent to record was obtained from every respondent before each interview.
- 3Thematic analysis run in Evidano
The qualitative insights from the in-depth interviews were analysed in the platform.
- 4Valence coding applied
Responses were classified positive, neutral, or negative, then fed into the scoring matrix.
“Insights from the IDIs with the representatives of the local government were analyzed qualitatively through thematic analysis in AILyze software.”
“In order to discretely categorize the responses, we utilized valence coding, wherein informants' responses were classified and labeled as positive, neutral, or negative based on a group of identified words/phrases suggesting such sentiments.”
Valence coding, a codebook, or an AI-suggested structure — the analysis follows your design.
The study's interviews were conducted in Cebuano and English.
Findings were compared across three municipalities within one framework.
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
AcademiaResearchers at Oxford and Melbourne used AI to analyse their interview data
Evidano helped analyse interview transcripts in a peer-reviewed study, then was checked against manual coding.
AcademiaA Stanford-led study used AI to cross-check its qualitative coding
A published mixed-methods study uploaded deidentified transcripts into Evidano to cross-check themes. Every AI code was reviewed by the researcher.
AcademiaResearchers used AI for qualitative analysis. Human experts reached the same conclusions.
A published Cornell study used Evidano (previously AILYZE) for thematic analysis, and human experts reached the same conclusions.
Related published evidence
Researcher interviews and published citations covering comparable studies.
- Published research2026
A Braun & Clarke thematic analysis, AI-assisted and verified by researchers
Published in Frontiers in Education (2026): encrypted data, human-verified themes, and a transparent AI coding workflow.
9 Teachers interviewed
Frontiers in Education
- Published research2026
A UCLA dissertation ran three separate AI-assisted analyses of its qualitative data
A UCLA dissertation used Evidano for initial coding and theme generation across journals and interviews, then reviewed and refined every result.
18 students in the qualitative sample
UCLA Electronic Theses and Dissertations (eScholarship, University of California)
- Published research2026
A published grounded theory study built its categories with Evidano
A peer-reviewed grounded theory study processed 51 literature sources through Evidano to formulate the categories that fed its constructed theory.
51 literature sources processed
Revista de Cercetare si Interventie Sociala (Vol. 93, pp. 43–66)
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.
- Resource
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.
- Resource
Methodology guides and research writing
Practical guides to qualitative methods — thematic analysis, grounded theory, evidence synthesis and more — alongside the wider Evidano article library.
- Resource
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.