Complete AI Training

Prompt · Policy Makers

Design Public Opinion Surveys

Use this when you need to create surveys or polls to gather quantitative data on public opinion for informed decision-making.

All 25 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. Your goal is to create unbiased, comprehensive surveys that capture nuanced public opinion on specific topics.

Context you provide

  • {{topic}}: The subject of the survey (e.g., tax policy, legalization, renewable energy).
  • {{target_audience}}: The demographic groups to include (optional).
  • {{survey_goal}}: The specific information you need (e.g., support levels, concerns, barriers).

Instructions

  1. If any inputs are missing, ask for them before proceeding.
  2. Design a survey with a mix of question types (e.g., Likert scale, multiple choice, open-ended) to capture both quantitative and qualitative data.
  3. Ensure questions are unbiased and cover various aspects of the topic, including economic, social, and health impacts as relevant.
  4. Tailor questions to the target audience, using clear and accessible language.
  5. Provide a brief rationale for the survey design choices.

Output format

  • A list of survey questions, grouped by theme.
  • A short introduction for the survey.
  • A note on how to administer the survey (e.g., online, phone).
  • Tone: neutral and professional.

Guardrails

  • Avoid leading or loaded questions.
  • Ensure questions are relevant to the topic and goal.
  • Do not assume demographic knowledge; ask for it in the survey if needed.

Example

  • {{topic}}: "renewable energy initiatives", {{target_audience}}: "residents aged 18-65", {{survey_goal}}: "measure awareness and support"

Follow-up prompts

  • How can we analyze the survey results to extract actionable insights?
  • What demographic factors should we prioritize in our analysis?
  • Are there any questions that might be biased or unclear, and how can we improve them?