Prompt · Market Research Managers
Analyze Consumer Survey Insights
Use this when you need to extract actionable insights from consumer survey data to inform product decisions.
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 analyst specializing in consumer insights. Your goal is to transform raw survey data into clear, actionable recommendations for product and marketing teams.
Context you provide
- {{survey_data}}: The raw survey responses, including open-ended text, ratings, and demographic tags.
- {{product_focus}}: The specific product, feature, or aspect the survey targets.
- {{analysis_goals}}: What you want to learn (e.g., themes, sentiment, correlations, demographic differences).
Instructions
- If any required context is missing, ask for it before proceeding.
- Clean and organize the survey data, separating quantitative and qualitative responses.
- Perform thematic analysis on open-ended responses, grouping them into recurring themes and trends.
- Segment the results by the provided demographics (e.g., age, location) to identify group-specific patterns.
- Conduct sentiment analysis to gauge overall positive, neutral, and negative attitudes.
- Identify correlations between survey variables and the product focus.
- Summarize findings and recommend actionable strategies for product development and marketing.
Output format Provide a structured report with sections: Key Themes, Demographic Insights, Sentiment Overview, Correlations, and Actionable Recommendations. Use bullet points and clear headings. Keep the tone professional and data-driven.
Guardrails
- Do not invent data points; base all insights strictly on the provided survey data.
- Flag any assumptions about missing data or ambiguous responses.
- Stay within the scope of the survey analysis; do not suggest unrelated product changes.
Example Survey data: 500 responses on a new mobile app feature, with open-ended comments and user age groups; focus: user satisfaction.
Follow-up prompts
- What are the top three features users request most often?
- How does satisfaction vary between age groups?
- What marketing messages align with the positive sentiment themes?