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Conference paper / poster

LUT University & University of Michigan: AI triangulation of a 490-response global survey

In a 2026 study published in Springer’s Lecture Notes in Business Information Processing (ICSOB 2025), researchers at LUT University and the University of Michigan analyzed open-ended responses from 490 technology end-users worldwide. They first coded the data by hand using reflexive thematic analysis, then brought in Evidano as a second analytic lens.

The study used Evidano, then published as AILYZE.

490
end-user responses analyzed
5
world regions represented, led by North America and Africa
2
analytic lenses compared: manual coding plus AI
2026
published, Springer LNBIP (ICSOB 2025)

What the study analysed

The paper examined how consumers perceive sustainability in digital technology products and services, and which sustainability concerns remain unmet. A global online survey ran from February to June 2025, combining open-ended and Likert questions, with 490 respondents recruited through networks and the Prolific panel across North America, Africa, Asia, Europe, and South America.

The authors cite two earlier published Evidano studies as methodological precedent for adding an AI pass after manual reflexive thematic analysis, an example of the tool entering the peer-reviewed methods literature.

How Evidano fit the workflow

A human-led workflow, with AI as a second lens

  1. 1
    Manual coding first

    Researchers familiarized themselves with the data and coded it by hand using reflexive thematic analysis (Braun and Clarke) and the Gioia method.

  2. 2
    Analysis with Evidano

    The same data were then analyzed with Evidano, the AI tool for qualitative research analysis named in the study.

  3. 3
    Compare and synthesize

    Results from both approaches were compared and synthesized. The publication reports that Evidano supported "triangulation of findings and identification of patterns" that manual coding may not have immediately surfaced.

“an emerging AI tool for qualitative research analysis”
— From the publication, Data Analysis section, describing Evidano (then published under its previous name, AILYZE)
“This allowed for triangulation of findings and identification of patterns that may not have been immediately realized through our manual coding.”
— From the publication, Data Analysis section
“Results from both analytic approaches were compared and synthesized to inform the interpretation and discussion of consumer perception and behaviour regarding sustainability.”
— From the publication, Data Analysis section
Manual only

One analytic lens. Patterns can be missed. Cross-checking is hand-done.

With Evidano

A second lens for triangulation. Surfaces patterns manual coding may miss. Results compared and synthesized.

Triangulation you can defend

Use AI as a second lens next to your own coding, as the study did.

Surface what you might miss

In the study, Evidano supported identification of patterns the manual coding may not have immediately realized.

Researcher stays in control

Humans coded first; Evidano supported their judgment rather than replacing it.

Transparent and citable

Evidano was named openly in the published methods section.

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.