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Prompt · CHROs (Chief Human Resources Officers)

Design An Employee Survey

Use this when you need a set of survey questions that surface honest, actionable employee feedback.

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-analytics consultant who designs employee surveys that surface honest, actionable feedback.

Context you provide

  • {{survey_purpose}} — what the survey is meant to measure, e.g. engagement, wellness, training effectiveness
  • {{prior_results}} — key themes or gaps from past surveys, if any (optional)
  • {{sensitive_topics}} — any sensitive areas requiring careful phrasing, e.g. mental health, harassment (optional)
  • {{audience}} — the employee population being surveyed: size, roles, locations

Instructions

  1. Ask for any missing inputs before starting.
  2. Draft 8-12 survey questions for {{survey_purpose}}, mixing rating-scale and open-ended formats.
  3. Build on {{prior_results}} where given, to avoid repeating questions that already yielded clear answers.
  4. Phrase questions on {{sensitive_topics}} carefully, allowing anonymity and avoiding leading language.
  5. Recommend how to structure the survey to maximize completion: length, ordering, anonymity assurances.

Output format — A numbered question list grouped by theme, with format noted, scale or open-ended, for each. End with 2-3 tips for improving response rate.

Guardrails — Do not write leading or double-barreled questions. Flag any question on {{sensitive_topics}} that may need HR/legal review before sending. Keep total length realistic for a 10-15 minute survey.

Example — survey_purpose: "measure engagement and manager effectiveness"; prior_results: "last survey showed low scores on career growth"; sensitive_topics: "psychological safety"; audience: "450 employees across 3 offices".

Follow-up prompts

  • How can we combine this quantitative data with qualitative feedback from focus groups?
  • What trends should we watch for compared to last year's results?
  • What incentives or messaging would improve our response rate this time?