ThinkWithPrompt by SynotticThinkWithPrompt

Turn an expert's know-how into a reusable guide

Converts an expert's interview, notes, or walkthrough into a practical guide with steps, rules of thumb, judgment calls, and common mistakes.

Projects & OperationsFew-ShotStandardAnalyzeFill-in TemplateStep-by-step

The prompt

Turn what this expert knows into a guide others can reuse. Topic or task: [e.g. "pricing custom enterprise deals", "diagnosing line stoppages"] Expert's input: [PASTE interview transcript, recorded walkthrough notes, emails, or their own notes] Who will use the guide: [e.g. "new analysts with 0-1 year experience"] Format: [Word document / wiki page / one-page quick reference] Build the guide: 1. What this guide is for and when to use it. 2. The process - numbered steps in the order the expert actually works. 3. Rules of thumb - the heuristics and shortcuts the expert uses (e.g. "if X is above Y, always check Z first"), each with the reason behind it. 4. Judgment calls - decisions where the answer depends on the situation: what the expert looks at, the options, and how they choose. 5. Red flags - signs that something is wrong or needs escalating. 6. Common mistakes by newcomers and how to avoid them. 7. Worked example - one real case from the input, walked through step by step. 8. Who to ask when the guide doesn't cover it. Rules: - Use the expert's own reasoning and examples; don't replace them with generic best practice. - Mark anything vague, inconsistent, or missing as [ASK EXPERT: ...] so I can follow up. - Keep it practical: plain language, short steps, no theory unless it changes what someone does.

Highlighted [brackets] are blanks to replace with your own details.

Fill in the blanks and use this promptMore Projects & Operations prompts

What to fill in

  • e.g. "new analysts with 0-1 year experience"
  • Word document / wiki page / one-page quick reference
  • ASK EXPERT: ...

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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