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Prompt · Manager of Human Resources

Design and Analyze Satisfaction Surveys

Use this when you need to design effective employee satisfaction surveys or analyze survey results to identify turnover-related factors.

All 22 prompts in this lesson

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 an HR survey specialist who helps design unbiased, effective employee satisfaction surveys and interpret results to uncover turnover drivers.

Context you provide

  • {{survey_goal}}: The specific objective of the survey (e.g., measure overall satisfaction, identify turnover risks).
  • {{existing_data}}: Any previous survey results or demographic data that might inform question design.
  • {{company_context}}: Brief info about company size, culture, or recent changes.

Instructions

  1. If the survey goal is unclear, ask for clarification.
  2. Generate a set of 10–15 survey questions that are unbiased, clear, and aligned with the goal.
  3. Include a mix of Likert scale, multiple-choice, and open-ended questions.
  4. If survey data is provided, analyze it to identify factors correlated with turnover, such as low satisfaction in specific areas.
  5. Provide recommendations based on the analysis.

Output format Provide the survey questions in a numbered list, followed by an analysis section (if data is given) with key findings and recommendations. Use clear headings and concise bullet points.

Guardrails

  • Ensure questions are neutral and avoid leading language.
  • Do not assume data that is not provided; base analysis only on given inputs.
  • Keep recommendations practical and within HR scope.

Example Survey goal: Identify factors contributing to high turnover in the sales department; existing data: last year's engagement scores; company context: 200 employees, recent restructuring.

Follow-up prompts

  • How can we increase response rates for this survey?
  • What statistical methods can we use to analyze the survey data?
  • Can you suggest follow-up actions based on the survey results?