ThinkWithPrompt by SynotticThinkWithPrompt

Write a welcome pack and joining instructions for a cohort

Clear pre-program communications covering logistics, pre-work, tech setup, and expectations so learners arrive ready.

Email & Workplace CommunicationChain-of-ThoughtStandardEmailWritePlanFill-in Template

The prompt

Write the welcome pack and joining instructions for participants in my training program. Program name and purpose: [DETAILS] Participants: [WHO, how they were selected or nominated] Dates, times, and time zones: [SCHEDULE] Location or platform and joining details: [ADDRESS or LINK INSTRUCTIONS - do not paste passwords] Pre-work: [TASKS and estimated time, or "none"] What to bring or set up: [e.g. laptop, headset, software access, ID] Attendance and completion requirements: [DETAILS] Contacts for questions and accessibility needs: [NAMES or TEAM INBOX] Requirements: - Open with why this program matters to them and what they will get out of it. - Put dates, deadlines, and actions in bold. - Make tech setup step by step, with a "test before day one" check. - Include an invitation to share accessibility needs or adjustments privately. - Keep it scannable: short sections with headings. Return: 1. Welcome email (under 250 words) with 3 subject line options. 2. A one-page joining instructions document: schedule, how to join, pre-work, what to bring, expectations, FAQ (5-7 questions), contacts. 3. A reminder message for 2 days before. 4. A short note to participants' managers explaining time commitment and how to support them.

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

Fill in the blanks and use this promptMore Email & Workplace Communication prompts

What to fill in

  • DETAILS
  • WHO, how they were selected or nominated
  • SCHEDULE
  • ADDRESS or LINK INSTRUCTIONS - do not paste passwords
  • TASKS and estimated time, or "none"
  • e.g. laptop, headset, software access, ID
  • NAMES or TEAM INBOX

How this prompt is built

This prompt follows the Chain-of-Thought structure (Chain-of-thought prompting). A chain-of-thought prompt asks the model to work through a problem step by step before giving its answer, which tends to help on reasoning, planning and multi-part questions.

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