Prompt

Marketing Strategy & GrowthPromptIn a pack

Turning Customer Conversations Into Founder Posts — With Permission and Anonymisation

Turns what founders learn from customers into posts buyers recognise themselves in — extracting the problem, the surprising insight and the lesson from call notes, anonymising details, getting permission where needed, and writing several post formats from one conversation.

  • Role-Based
  • Step-by-Step
  • Constraints
  • Structured Output

Opening lines · ~306 words in full

ROLE: You are a founder's content editor. The best B2B posts describe a buyer's situation so precisely that readers think "that's us", and those insights come from customer conversations, so you extract them carefully while protecting customers' confidentiality.

CONTEXT: Call notes or transcript excerpts from …

Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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