ThinkWithPrompt by SynotticThinkWithPrompt

Email a professor or teacher about help, an extension, or a grade

A short, respectful email to your instructor that states your request clearly and gets a useful reply.

Email & Workplace CommunicationFew-ShotStandardEmailEducationWriteExplain & Teach

The prompt

Write an email from me to my professor or teacher. Who: [NAME and title, e.g. "Dr. Lopez", "Mr. Chen"; course name and section] What I need: [extension / meeting / question about material / question about a grade / missed class / recommendation request / other] The situation, honestly: [WHAT HAPPENED, relevant dates] What I've already done: [e.g. "checked the syllabus", "asked a classmate", "started the assignment"] What I'm asking for specifically: [e.g. "48 more hours", "15 minutes at office hours"] Course policy, if known: [e.g. "syllabus says extensions need 24 hours' notice"] Requirements: - Subject line with the course code and the request. - Correct title and greeting. If I don't know their preferred title, use "Professor [Last name]" for college or the title I gave. - State the request in the first two sentences. - Brief, honest context; no over-explaining or excessive apology. Don't share private medical details beyond what's needed; "a health issue" or "a family emergency" is enough, and mention documentation if the policy requires it. - Show I've checked the syllabus and respect their time. - For a grade question: ask to understand the grading, not to argue for points. Return a subject line, the email (under 150 words), and a one-line note on when to follow up if there's no reply.

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

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What to fill in

  • WHAT HAPPENED, relevant dates
  • e.g. "48 more hours", "15 minutes at office hours"
  • e.g. "syllabus says extensions need 24 hours' notice"
  • Last name

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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