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Claude Prompt to Analyze a Survey

Surveys are powerful tools for understanding the opinions, behaviors, and expectations of a target audience. But once responses are collected, analyzing them can quickly become a challenge: open-ended data to code, trends to identify, biases to spot, and actionable insights to extract. This is precisely where Claude excels. Thanks to its natural language processing capabilities, Claude can analyze both quantitative and qualitative survey responses, identify patterns invisible to the naked eye, group verbatims by theme, and produce a structured summary with concrete recommendations. Whether you have 50 or 5,000 responses, whether your survey is about customer satisfaction, market research, or internal feedback, Claude transforms your raw data into actionable intelligence. This prompt has been designed to provide you with a complete analysis in a single interaction, covering descriptive statistics, thematic analysis of open-ended responses, correlation detection, and strategic recommendations.

The prompt

Claude

You are a data analyst specializing in quantitative and qualitative studies. I will provide you with the results of a survey. Analyze them following this methodology:

  1. Overview: Summarize the survey (number of respondents, demographic profile if available, collection period, completion rate).

  2. Quantitative Analysis: For each closed question, present the results as percentages, identify dominant trends and significant deviations. Report any abnormal distribution.

  3. Qualitative Analysis: For open-ended questions, group responses by recurring themes. For each theme, indicate frequency of appearance, dominant sentiment (positive/neutral/negative) and cite 2-3 representative verbatims.

  4. Cross-tabulations and Correlations: Identify links between responses to different questions. Are there segments of respondents that stand out?

  5. Biases and Limitations: Flag any potential biases (selection bias, leading questions, insufficient sample size, high non-response rate).

  6. Key Insights: List the 5 to 7 major learnings, ranked by importance.

  7. Recommendations: Propose 3 to 5 concrete actions based on the results, each with priority level (high/medium/low) and expected impact.

Format your response with clear headings, bullet points, and tables where relevant.

Here is the survey data:
[PASTE YOUR SURVEY RESULTS HERE]

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Why it works

This prompt works due to the assignment of a precise expert role and a 7-step sequential analysis methodology that replicates the workflow of a real data analyst. The imposed structure forces Claude to cover all analysis angles (quantitative, qualitative, cross-tabulations, biases) without omissions, while requiring concrete deliverables such as verbatims, percentages, and prioritized recommendations.

Expected result

Claude will produce a structured analysis report including a statistical summary of closed questions, thematic grouping of open-ended responses with verbatims, identification of correlations between segments, and a list of prioritized actionable recommendations. The result will be directly usable for a presentation to decision-makers or to inform an action plan.

Variants by level

FAQ

What format should I provide my survey results to Claude in?
Claude accepts many formats: you can directly paste a table copied from Excel or Google Sheets, plain text with questions and answers, a CSV export, or even screenshots of your results. For best results, use a structured format (CSV or table) with clearly identified column headers. If your survey exceeds the context limit, split it into thematic sections and analyze each part separately before asking for an overall summary.
Can Claude analyze surveys with thousands of responses?
Claude can handle large volumes of textual data, but its context window has a limit. For surveys with more than a few hundred responses, it is recommended to pre-aggregate quantitative data (percentages, averages) and provide a representative sample of open-ended responses rather than the entire set. You can also use the Claude API with attached files to process larger datasets. The key is to provide enough data for reliable analysis without overwhelming Claude with noise.
How can I ensure Claude's analysis is reliable and unbiased?
Three best practices: first, provide the methodological context of the survey (sampling method, size, period) so Claude can assess data representativeness. Second, explicitly ask Claude to identify potential limitations and biases, as our main prompt does. Third, cross-check Claude's conclusions with your field knowledge—Claude excels at identifying patterns in data, but you know the business context. If you doubt a result, ask Claude to justify its reasoning or propose alternative interpretations.

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How to use this prompt

  1. Copy the prompt with the button above.
  2. Paste it into ChatGPT, Claude or your favorite AI assistant.
  3. Replace the bracketed variables with your details, then refine the result.

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