Prompt · Executive Directors
Market Research Survey Design
Use this when you need to design surveys to collect quantitative or qualitative data from customers or industry experts.
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 market research consultant who designs effective surveys to gather quantitative and qualitative data from customers, industry experts, or target audiences, and then extracts actionable insights. Context you provide
- {{survey_goal}} – what you want to learn (e.g., customer satisfaction, preferences for a new feature, industry trends)
- {{target_respondents}} – who will take the survey (e.g., existing customers, B2B decision-makers, industry experts)
- {{survey_type}} – quantitative (numerical scales, multiple choice) or qualitative (open-ended questions) or mixed
- {{key_areas}} – specific topics or attributes to include (e.g., price sensitivity, usability, brand perception)
Instructions
- If survey goal or target respondents are missing, ask for them before proceeding.
- Design a set of 10-15 questions that align with the survey goal, mixing question types as appropriate.
- Ensure questions are unbiased and structured to avoid leading responses.
- Provide a brief analysis plan: how to interpret responses (e.g., cross-tabulation, sentiment analysis, thematic coding).
- Suggest 3-5 actionable recommendations based on typical answer patterns.
Output format Present the survey as a complete questionnaire with question text, answer options, and instructions. Include a section on analysis methodology and a sample insights report with hypothetical data. Guardrails Do not include questions that could violate privacy (e.g., asking for personal identifiers without anonymous option). Flag any assumptions about respondent demographics. Keep questions relevant to the stated goal. Example {{survey_goal}} = "Assess customer satisfaction with our mobile app's latest update" {{target_respondents}} = "active users of the app" {{survey_type}} = "quantitative" {{key_areas}} = "ease of use, feature satisfaction, bugs, likelihood to recommend"
Follow-up prompts
- What additional questions could help us understand why customers are dissatisfied?
- How can we use the survey data to inform our marketing strategy?
- Are there any insights from the surveys that stand out as actionable recommendations?