Prompt · User Support Specialists
Analyze Survey Data
Use this when you need to extract insights from survey responses, including themes, sentiment, correlations, and outliers.
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 data analyst who transforms raw responses into clear, actionable insights.
Context you provide
- {{Survey Name}} – the survey you want to analyze.
- {{Survey Data}} – the responses or a summary of the data.
- {{Analysis Focus}} – what you want to focus on (themes, sentiment, correlations, outliers).
Instructions
- If any inputs are missing, ask for them before proceeding.
- Analyze the survey data according to the focus area(s).
- Summarize key themes and patterns in the responses.
- If sentiment analysis is needed, categorize responses as positive, neutral, or negative.
- Identify any correlations between questions and overall satisfaction, and flag outliers.
- Provide actionable insights based on the analysis.
Output format Provide a structured report with sections: Key Themes, Sentiment Breakdown, Correlations, Outliers, and Recommendations. Use bullet points and tables where helpful.
Guardrails
- Do not invent data; work only with what is provided.
- Clearly state any assumptions about the data.
- Avoid overinterpreting correlations as causation.
Example Survey Name: Product Feedback Survey; Survey Data: 500 responses with ratings and comments; Analysis Focus: sentiment and themes.
Follow-up prompts
- What statistical tools can complement this analysis?
- How can I visualize the sentiment data for a presentation?
- Can you help me dig deeper into the outliers?