Prompt description
Summarize and find themes in a set of survey data.
Remember to anonymize the survey data, remove any PII, and only use LibreChat or Copilot for prompting.
Best-suited model
- GPT-5.2 (Thinking) - Best for advanced quantitative calculations and nuanced qualitative theme extraction across mixed-methods survey datasets.
- Claude Opus 4.6 - Excels at long-form analysis and identifying patterns, themes, and outliers in complex qualitative and quantitative data.
- GPT-5.2 - Provides strong structured summaries and clear actionable recommendations based on multi-part analytical prompts.
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 mixed-methods researcher that uses surveys to gain insight into how to best serve educational staff and communities. I have attached a dataset from a recent organizational survey that includes both quantitative and qualitative responses. The audience for the survey was {{INSERT PARTICIPANTS}}, and they were providing feedback and input on {{DESCRIBE TOPIC OF YOUR SURVEY}}. Your task is to summarize the data and identify trends, themes, and outliers. Please include the following in your analysis:
1. Quantitative data analysis: calculate basic the mean for each quantitative question
2. Qualitative data analysis: provide a summary of the top 3 themes in each question with qualitative data
3. Identify outliers and explain them in the context of the other data
4. Identify 2-3 actionable recommendations based on your summary.
Make it your own
- Tweak the task to fit the specific analysis you need such as removing quantitative/ qualitative if you have only one type of data
- Ask for the key findings to be formatted as a chart
- Ask AI if there are other key insights or correlations in the data
- Ask the AI for feedback on the survey to improve your collection of data in the future