Turning Socratic Questioning into AI Prompts: A Four-Variable, Three-Stage Framework
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On 2026 October 12, the Rare Earth Gold Mining AI Weekly Hotlist featured a methodology article in which the author proposed a framework for adapting Socratic questioning into AI prompts. The framework is built on four variables—role, inquiry objective, questioning dimension, and output format—paired with a three-stage process. The first two stages mentioned in the report are the rough interview and the deep interview. The article's central claim is that organizing prompts around this combination of variables and stages lets AI carry on a conversation through Socratic follow-up questions. So far the report only gives the framework's components and the names of its stages; it does not disclose concrete examples, empirical results, or tool implementations, and no figures or timelines appear that contradict other reports.
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- Juejin · Weekly AI trendsSelectedTurning Socratic questioning into AI prompts: a four-variable, three-stage framework
The author proposes a framework for porting Socratic questioning into AI prompts, using four variables — role, mining goal, questioning dimensions, and output format — plus a three-stage flow of rough interview, deep interview, and targeted output, so the AI asks the user one question at a time. The article includes a reference table of 7 questioning dimensions such as STAR, 5W2H, and motivation-pain point-decision-turning point, along with three copy-paste-ready prompts for turning work experience into a resume, plus one that has the AI interview the user in turn, helping define the four variables and generate them.
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