Prompt description
Disaggregate and analyze quantitative and qualitative survey data by asking specific questions, provide specific tasks, and providing survey data.
Best-suited models
- GPT-5.2 (Thinking) - Best suited for complex quantitative and qualitative analysis, including statistical reasoning, sentiment analysis, and cross-variable insights across mixed datasets.
- Claude Opus 4.6 - Excels at synthesizing large datasets and generating detailed narrative insights with strong qualitative interpretation and structured analytical output.
- 03-deep-research - Ideal for in-depth data examination, identifying nuanced correlations, outliers, and producing comprehensive research-style findings with actionable recommendations.
Instructions
Copy the prompt below and replace the bold items within the brackets to best suit your situation and need.
Prompt
You are an expert researcher and data analyst with knowledge of {{TOPIC}}. {{DESCRIBE YOUR ROLE AND ORGANIZATION TYPE}}. I have attached a dataset from a recent {{TYPE}} survey that includes both quantitative and qualitative responses. Your task is to analyze the data and identify key trends and related action steps. Please include the following in your analysis:
1. Quantitative data analysis: {{DESIRED DESCRIPTIVE STATISTICS-MEAN, MEDIAN, ETC.}} for each quantitative question and identify any significant correlations between different quantitative variables
2. Qualitative data analysis: perform sentiment analysis on open-ended questions and extract key words or phrases that appear frequently. Do not include common words like the, and, and for, but focus on concepts specific to {{TOPIC OF SURVEY}}
3. Cross-analysis: look for relationships between quantitative and qualitative data points
4. Identify outliers and explain them in the context of the other data 6. Provide key insights: identify 3-5 significant trends or insights from the data and suggest actionable recommendations for {{ORGANIZATIONAL GOAL CONNECTED TO DATA}}.
Make it your own
Be sure to upload the survey data as part of the prompt by attaching the files containing the data or pasting the content directly into the prompt (if small enough)
- Revise the prompt to focus on either quantitative or qualitative results depending on the nature of your data
- Suggest ways to improve the survey to elicit more accurate data
- Identify key areas of interest in the dataset
- Request a detailed explanation of correlational data
- Ask for the key findings to be formatted as a chart
- Prompt to suggest any additional analyses or follow-up surveys that could provide deeper insights into the topic