ThinkWithPrompt by SynotticThinkWithPrompt

Get three different ways to deliver a hard message

Three distinct versions of a difficult message (direct, empathetic, and collaborative) with when each one works best.

Email & Workplace CommunicationFew-ShotStandardCommunicationWriteFill-in Template

The prompt

Give me three different ways to communicate a difficult message, so I can choose the right approach. The message I need to get across: [WHAT I need to say] Who will hear it: [PERSON or group, and our relationship] What I know about how they take news: [e.g. "prefers bluntness", "anxious", "very senior and busy"] Channel: [face to face / video call / email / Teams or Slack] Outcome I need: [e.g. acceptance, a change in behavior, a decision, keeping the relationship] Write three versions of the core message (spoken or written, to match the channel): 1. Direct - the point in the first sentence, minimal cushioning. 2. Empathetic - acknowledges the impact on them first, then the message, without diluting it. 3. Collaborative - frames it as a shared problem and invites them into the solution. For each version, add: - When it works best and when it could backfire with this person. - The likely first reaction and a one-line response to it. Then give me: - Your recommendation for this situation, and why. - What must stay the same in all three - the facts and the ask that can't be softened away. Rules: all three must deliver the same substance - only the framing changes. No hedging that makes the message unclear, and no invented details. Keep each version under 150 words.

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

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What to fill in

  • WHAT I need to say
  • PERSON or group, and our relationship
  • e.g. "prefers bluntness", "anxious", "very senior and busy"
  • face to face / video call / email / Teams or Slack

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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