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Undergraduate thesis · University of Split · 2026University of Split arms
Thesis / dissertation

University of Split thesis used AI-triangulated thematic coding on 8 interviews

A 2026 psychology thesis at the University of Split used Evidano to support analytic triangulation of its thematic coding. Every output was reviewed and verified by the authors, and all final coding decisions stayed researcher led.

The study used Evidano, then published as AILYZE.

8
in-depth interviews with transgender women
5
themes and 14 sub-themes developed
~45
minutes per interview
5
countries represented among participants

What the study analysed

The qualitative study, completed at the Faculty of Humanities and Social Sciences and published open access in the faculty repository, examined how medically transitioned transgender women interpret contemporary media representations of their community, and how those representations bear on identity, belonging, and psychological wellbeing. Eight participants aged 21 to 39, from Croatia, neighbouring Balkan countries, and the United States, were recruited through purposive, convenience, and snowball sampling.

Interviews were semi-structured, conducted online in March 2026, and ran roughly 45 minutes each. All were audio-recorded, transcribed verbatim, manually reviewed and corrected by the researcher, and stripped of identifying information before analysis. The study was approved by the University of Split’s Human Research Ethics Committee.

Manual coding first, AI as a consistency check

Coding was conducted manually and inductively through repeated close readings, following a general inductive approach and reflexive theme development. Only then was the initial thematic coding processed through Evidano to support triangulation, with the thesis mentor providing methodological oversight as an outsider to the community studied.

The analysis produced five themes and 14 sub-themes: Authenticity of Identity, Hypervisibility Incongruence, Representational Distancing, Psychological Impact of Media, and Desired Forms of Representation. The thesis went on to propose a new construct, hypervisibility-induced representational distancing.

How Evidano fit the workflow

A reflexive, researcher-led process, with AI used as a supplementary check.

  1. 1
    Interviews transcribed and anonymised

    Transcripts were manually reviewed and corrected, and identifying information removed.

  2. 2
    Manual inductive coding

    Codes were refined and organised into thematic categories through repeated close readings and comparison across accounts.

  3. 3
    Initial coding processed through Evidano

    A supplementary pass to support analytic triangulation across the dataset.

  4. 4
    Outputs reviewed and verified by the authors

    Final coding decisions, interpretations, and theme development remained researcher led.

“Following transcription, coding was conducted manually and inductively through repeated close readings of the interview material.”
— From the thesis, Data analysis
“To support analytic triangulation, initial thematic coding was processed using AIlyze (2023), and all outputs were subsequently reviewed and verified by the authors.”
— From the thesis, Data analysis (AIlyze is now Evidano)
“All final coding decisions, interpretations, and theme development remained researcher led.”
— From the thesis, Data analysis
“AIlyze was used solely as a supplementary analytic tool to enhance the consistency and thoroughness of the coding process rather than to generate or determine the final themes.”
— From the thesis, Data analysis

A second pass over sensitive interview data

Manual only

Solo coding of emotionally rich interviews leaves the researcher’s own positionality hard to test without an independent reading to compare against.

With Evidano

A supplementary analytic pass that tests the consistency and thoroughness of manual coding, without taking the interpretation out of the researcher’s hands.

Named in the methods

The thesis discloses exactly what the tool was and was not used for.

Anonymised transcripts

Identifying information was removed before any analysis.

Supplementary by design

Used to check consistency, not to generate or determine final themes.

Ethics approved

Approved by the University of Split’s Human Research Ethics Committee, with informed consent from every participant.

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.

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