Commentary on News
Match Modality to Intent: Modality-Aware Qual Research
Design teams default to chat because LLMs speak like us, but that reflex increases cognitive load and slows research. This post refracts the Smashing Magazine guide (published July 2, 2026) through the lens of AI-enabled qualitative research and shows how to run a Task Audit and Input/Output Alignment Matrix to choose the right input/output modalities for interviews, field notes, and survey follow-ups. You’ll get a concise workflow you can run in two weeks and concrete ways to operationalize modality choices in Evidano so transcripts, thematic codes, and visualizations match how participants actually work. Read the original Smashing article: Smashing Magazine and follow the checklist below to reduce adaptation load and speed synthesis.
In this article
- Key Takeaways
- Fast take + source
- Findings snapshot
- How the Task Audit fits qualitative research
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