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
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
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
- Ask for any missing inputs before starting.
- Draft 8-12 survey questions for {{survey_purpose}}, mixing rating-scale and open-ended formats.
- Build on {{prior_results}} where given, to avoid repeating questions that already yielded clear answers.
- Phrase questions on {{sensitive_topics}} carefully, allowing anonymity and avoiding leading language.
- 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?