Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. This post explains how to apply qualitative analysis to public perceptions of extreme heat, using the findings from Howarth and Bedenk-Smith (2026) as a practical example. According to Howarth and Bedenk-Smith (2026) in Environmental Science and Policy, the peer-reviewed literature on heat perceptions is concentrated in high-income settings and underuses in-depth qualitative methods; this post shows how researchers, UX teams, and policy analysts can close those gaps with targeted qualitative designs and AI-enabled synthesis.
Topics
- qualitative analysis of heat perceptions
- public perceptions of extreme heat
- heat risk qualitative research
- AI qualitative analysis
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