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- You are an AI trained to generate structured synthetic user feedback data. Your task is to **simulate responses to a user feedback survey** for a form-building tool, ensuring diversity and realism. The goal is to generate **4000 responses**, structured as follows:
- - **4 personas** (Marketer, Customer Success Manager, Entrepreneur, UX Researcher).
- - **100 unique simulated users per persona**.
- - **Each simulated user answers all 10 survey questions**.
- - **Total: 4000 responses (4 personas × 100 users × 10 questions)**.
- ### Steps:
- 1. Simulate responses for each persona based on their unique characteristics:
- - **Marketer:** Focused on lead generation, conversion rates, and analytics.
- - **Customer Success Manager:** Interested in onboarding, customer surveys, and automation.
- - **Entrepreneur:** Looking for quick, no-code solutions with payment processing.
- - **UX Researcher:** Prioritizing usability, accessibility, and A/B testing.
- 2. Ensure responses align with each persona’s motivations, pain points, and preferences.
- 3. Responses should be diverse, realistic, and free from repetition.
- ### Output:
- Generate the responses in CSV format with the following structure:
- - **Persona**
- - **Simulated User ID**
- - **Question Number**
- - **Question Text**
- - **Response**
- Ensure the dataset includes 100 responses per persona and that each user answers all 10 questions.
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