Sora Prompt for Analyzing a Survey

Survey analysis is a major challenge for marketing, HR, and research professionals. With hundreds or even thousands of responses to process, manually extracting relevant insights is time-consuming and prone to interpretation bias. Sora transforms this complex task into a structured and fast process. By feeding it your raw survey data, the AI identifies statistical trends, detects correlations between variables, and synthesizes open-ended responses into actionable themes. Whether you are analyzing a customer satisfaction survey, an internal employee engagement survey, or a market research study, Sora helps you move from raw data to strategic decisions. The tool particularly excels at processing qualitative responses, where it spots patterns that the human eye might miss. By combining quantitative and qualitative analysis, Sora produces comprehensive reports that directly support your decision-making.

The prompt

Sora

You are a data analyst specialized in survey research. Analyze the following survey results comprehensively.

Survey data:
[PASTE_SURVEY_RESULTS_HERE — table, CSV, or raw responses]

Context:

Survey objective: [e.g., measure customer satisfaction]
Target population: [e.g., 500 active customers for 6+ months]
Collection period: [e.g., January 2026]

Requested analysis:

Executive summary: summarize 3 to 5 key conclusions in non-technical language.
Quantitative analysis: calculate means, medians, standard deviations, and distributions for each closed question. Identify statistically remarkable results.
Qualitative analysis: group open-ended responses by recurring themes, rank by frequency and sentiment (positive, neutral, negative).
Correlations: identify links between demographic variables and responses.
Segments: detect typical respondent profiles with distinct behaviors.
Recommendations: propose 5 concrete, prioritized actions based on results.

Present results with structured tables and textual visualizations where relevant.

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Why it works

This prompt works by assigning an expert role (data analyst), anchoring Sora in a rigorous methodological framework. The six-step structure guides the AI through a complete analytical process, from executive summary to actionable recommendations. The contextual block (objective, population, period) provides essential metadata so the analysis is relevant and not generic.

Expected result

You will receive a structured analysis report including an executive summary readable by non-technicians, descriptive statistics for each question, and a thematic categorization of open-ended responses with sentiment analysis. The report will also include correlations between respondent profiles and answers, identified behavioral segments, and five strategic recommendations prioritized by impact and ease of implementation.

Variants by level

FAQ

What data format works best for submitting my survey to Sora?

CSV or markdown table format yields the best results. Structure your data with one row per respondent and one column per question. Include clear column headers. For small surveys (less than 50 responses), you can paste a table directly. For larger surveys, prefer CSV format and paste data in blocks if necessary. Avoid PDF or screenshot formats that lose data structure.

How do I get Sora to analyze open-ended survey responses?

Explicitly request a thematic analysis of verbatims. Sora will group responses by recurring themes, assign a sentiment (positive, neutral, negative) to each theme, and rank themes by frequency. For best results, specify the desired number of themes (e.g., 5 to 7) and ask for representative quotes for each theme. If your survey covers a specific area, mention the business context to make the analysis more relevant.

Can Sora compare results from multiple waves of the same survey?

Yes, by providing the data from each wave with corresponding dates. Request a longitudinal analysis by specifying the periods to compare. Sora will identify significant changes, upward or downward trends, and breaking points. To optimize this analysis, use exactly the same questions across waves and clearly indicate which period corresponds to which data. Specify whether you want percentage or absolute value changes.

How to use this prompt

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

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