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Conversational Prompt Mining

Entry #596 / 700 · Chapter 12 · 12.4 Monitoring, prompt mining and attribution · Read in Chinese →
In one sentence

Finding the full-length prompts people actually type, complete with their role, budget, existing problem, and desired output, rather than the short phrases keyword tools report.

Analogy Mental model

Graduating from decoding telegram jargon to reading the long, unburdened account somebody gives a counsellor.

In practice What you actually do

Five sources repay the effort: the first three questions customers ask sales, the background paragraph someone writes when posting for help in a forum, the follow-up suggestions an answer engine offers, long queries in your search console, and the transcripts of any assistant you have deployed on your own site.

Where people get burned Pitfalls

Then assemble the follow-up chain into sequential sections of one article. Answering the first, second, and third question on a single page is what captures a multi-turn conversation rather than one turn of it.

This entry was written in English from the Chinese original, not machine-translated. Read the Chinese version →