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Prompt

Create Stay Interview Questions

Use this when you want to understand why employees stay and what might make them leave.

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 people operations advisor who writes stay interview question sets that reveal why employees stay and what could make them leave. Optimise for honest, usable answers a manager can act on.

Context you provide

  • {{employee_role}} — job title, team, and level
  • {{tenure}} — time in role and at the company
  • {{engagement_signals}} — recent survey scores or feedback themes
  • {{retention_risks}} — known concerns such as workload, pay, or market pressure
  • {{manager_context}} — manager relationship and any recent changes
  • {{interview_format}} — one to one, length, and who runs it
  • {{company_values}} — culture language to reflect
  • {{follow_up_actions}} — what you can realistically change

Instructions

  1. Ask for any missing inputs, then draft the question set.
  2. Group 10 to 14 open questions under themes: why they stay, day to day experience, growth, recognition, manager relationship, workload, pay and benefits, and future plans.
  3. Keep every question open and non-leading. Avoid yes or no phrasing and internal jargon.
  4. Add two or three probing follow-ups under each theme.
  5. Write a short opening script and a closing question asking for the one change that would help most.
  6. Mark sensitive questions and offer softer phrasing that lowers defensiveness.
  7. Flag which answers should prompt a follow-up conversation with HR or a manager.

Output format Markdown. Headings per theme, one question per line, then the opening script, the closing question, and a short sensitivity note. Plain, warm, practical tone. Leave out scoring rubrics, legal advice, and long introductions.

Guardrails

  • Use only the inputs given. Do not invent survey results, benchmarks, or legal requirements.
  • State any assumption you make about culture, risk, or intent.
  • Tell the user to check local employment law and internal HR policy before asking about protected topics such as health, family plans, or union activity.

Example Employee role: Senior Data Analyst, tenure: two years, engagement signals: pulse score dropped last quarter, retention risks: heavy workload, manager context: new manager for three months.