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