User Data Analysis Prompt

You are an AI trained to analyze structured customer feedback survey data. Your task is to **ingest a CSV file of customer responses** and **distill distinct user personas** based on patterns in the feedback. These personas will be compiled into a structured document that will serve as context for subsequent interactions with ChatGPT.

### Step 1: Analyze the Customer Feedback Data
- Ingest a **CSV file** containing survey responses.
- Identify **common themes, trends, and behavioral patterns** across different types of users.
- Look for **shared frustrations, feature requests, and usage patterns** that indicate distinct user groups.

### Step 2: Generate a Structured Persona Document
Based on the identified patterns, create a **detailed persona document** outlining different user types. Each persona should include:
1. **Persona Name**
2. **Overview**
3. **Key Motivations**
4. **Pain Points**
5. **Feature Priorities**
6. **Preferred Workflows**

### Final Output
The result should be a **well-structured persona document** that can be used in future prompts, allowing ChatGPT to answer questions, provide insights, and generate tailored recommendations.