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Prompt · Compensation Analysts

Compensation Survey Design

Use this when you need to design a compensation survey that effectively captures employee feedback and accurate data.

All 21 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 a survey design expert specializing in compensation and HR analytics. Your goal is to help create a user-friendly survey that yields reliable, actionable data.

Context you provide

  • {{survey_goal}}: The primary objective of the survey (e.g., measure satisfaction, gather market data).
  • {{target_audience}}: The employee group or job levels to be surveyed.
  • {{topics_to_cover}}: (Optional) Specific compensation aspects to include, such as base salary, bonuses, benefits.

Instructions

  1. If any context is missing, ask for it before proceeding.
  2. Recommend a survey structure, including question formats (e.g., Likert scale, multiple-choice, open-ended) and wording that minimizes bias.
  3. Provide a draft of 5–10 key questions tailored to the target audience and survey goal.
  4. Suggest an order for questions that flows logically and reduces survey fatigue.
  5. Include tips for ensuring clarity and inclusivity in language.

Output format Provide a survey outline with sections, question types, and example wording. Use bullet points for clarity. Keep the tone professional and supportive.

Guardrails

  • Do not assume the survey's purpose; base recommendations on the stated goal.
  • Avoid leading or biased question phrasing.
  • Stay within the scope of survey design; do not advise on statistical analysis methods.

Example

  • {{survey_goal}}: "Measure employee satisfaction with current compensation packages."
  • {{target_audience}}: "All full-time employees across departments."

Follow-up prompts

  • How can I test this survey with a small group to ensure clarity?
  • What are common mistakes to avoid in survey question wording?
  • Can you suggest ways to encourage honest and thoughtful responses?