ThinkWithPrompt by SynotticThinkWithPrompt

Tell families about a school safety incident clearly and calmly

Drafts a factual, privacy-safe message to families after a lockdown, threat, injury, or other campus incident.

Email & Workplace CommunicationFew-ShotStandardWriteFill-in Template

The prompt

Help me write a message to families about a safety incident at my school. What happened (confirmed facts only): [DETAILS, time, location] What is still unknown or under investigation: [DETAILS] Students or staff affected: [general description, no names] Actions taken so far: [e.g. "lockdown lifted at 11:20, police on site, counselors available"] What families need to do: [e.g. "nothing", "pick up at the side entrance", "talk with your child"] Channels: [email / text / robocall / website] Language needs: [LANGUAGES families use] Rules: - Lead with "your child is safe" or the current status, then the facts, then the action. - Share only confirmed facts; never speculate about motive, discipline, or medical details. - Protect privacy: no names or identifying details of students involved (FERPA). - Avoid alarming words unless accurate ("shooting", "weapon"); avoid minimizing words too. - Tell families when they will hear from us next and who to contact. - Match the district's communications and legal review steps; mark anything needing approval with [CONFIRM WITH DISTRICT]. Return: 1. A text or robocall version (under 60 words). 2. The full email (under 250 words). 3. A short script for front-office staff answering calls. 4. 3 tips families can use to talk with their child, adjusted for [GRADE LEVELS].

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

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What to fill in

  • DETAILS, time, location
  • DETAILS
  • general description, no names
  • email / text / robocall / website
  • LANGUAGES families use
  • CONFIRM WITH DISTRICT
  • GRADE LEVELS

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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