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Commentary on News

AI-enabled Qualitative Analysis: Participatory Evaluation

AI-enabled qualitative analysis is the primary method that evaluation teams can use to turn multi-session participatory workshops into actionable recommendations. According to the August 20, 2026 PLOS ONE study, researchers applied a strategy mapping software across a four-workshop series to evaluate COVID-19 crisis management, producing ten participant-developed recommendations and a follow-up interview study. This post translates the PLOS ONE case into practical guidance for qualitative researchers and evaluation teams who want to use AI to accelerate transcription, thematic coding, cross-segment analysis, and recommendation clarity.

In this article

  • Key Takeaways
  • What happened and how the strategy mapping process worked
  • Findings snapshot
  • Implications for qualitative researchers and evaluation teams
Evidano7 min read
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Commentary on News

Mentorship Findings: Qualitative Analysis of Mentorship

How AI-enabled qualitative analysis maps undergraduate mentorship patterns in biology and biomedical sciences; concrete stats from PLOS One and practical steps. Try Evidano.

Evidano6 min read
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