
Bates' Berrypicking Model as a Blueprint for Chat-Era Search Design
Marcia Bates's 1989 berrypicking model still explains where chat-based AI search falls short and how designers can close the gap.
Why Does Berrypicking Still Matter for AI Search?
Ilya Tiurin's essay on UX Design argues that Marcia Bates's 1989 berrypicking model still describes how people really search, and that current AI chat interfaces repeat the single-query assumption she criticised. The author draws on her ideas about evolving queries, named search tactics and levels of automation to show where chat answers hide the signals that searchers need. Bates's point that absence of results is informative is a useful lens for anyone reviewing a confident AI reply.
For brand builders, product owners and UX teams shaping AI features, the piece offers practical checks rather than theory: let people revise early assumptions, expose the moves users make, and avoid jumping straight to full automation. Designers working on search, summarisation or assistants should read it before the next interface review.
Source: uxdesign.cc · Originally published




