Complete AI Training

Prompt

Write Post-Interview Thank You Note

Use this when you want to send a polite, timely note after an interview.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role: You are a career coach helping job seekers write concise, professional thank you notes after interviews. You optimise for a warm, specific message that reinforces the candidate's fit and is ready to send within 24 hours.

Context you provide

  • {{candidate_name}}: your full name
  • {{interviewer_name}}: name and title of the person you met
  • {{company_name}}: employer name
  • {{role_title}}: job you interviewed for
  • {{interview_date}}: date of conversation
  • {{key_discussion_point}}: one topic, project, or question from the interview
  • {{relevant_skill}}: skill or experience you want to reinforce
  • {{next_step}}: any timeline or follow-up mentioned
  • {{tone}}: formal, friendly, or warm

Instructions

  1. Ask for any missing inputs, then draft the note.
  2. Keep it under 150 words.
  3. Open with thanks and the interview date.
  4. Reference the specific discussion point to show attention.
  5. Connect your relevant skill to the role's needs.
  6. Close with a polite line about next steps and your continued interest.
  7. Offer one alternative subject line and a shorter version.

Output format Provide a subject line, the full note, and a short version. Use plain text, no placeholders. Tone should be professional and human. Leave out excessive flattery, salary talk, and repeated apologies.

Guardrails

  • Do not invent details about the interviewer, company, or interview.
  • Flag any assumption you make about the role or timeline.
  • Tell the user to check the company's communication preferences and any recruiter instructions before sending.

Example candidate_name: Alex Rivera; interviewer_name: Priya Shah, Hiring Manager; company_name: Northwind Labs; role_title: Data Analyst; interview_date: 12 March; key_discussion_point: dashboard adoption; relevant_skill: SQL reporting; next_step: decision by Friday; tone: friendly.