AI-Powered Dynamic Interview Automation
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Automate in-depth qualitative interviews with this n8n workflow, leveraging AI for dynamic and endless questioning. It provides a scalable solution for collecting rich insights through an interactive web form, ensuring a seamless experience for interviewees and efficient data capture for analysts.
About This Workflow
Revolutionize your qualitative data collection process with this n8n workflow, designed to conduct AI-powered interviews. It sets up an intelligent agent capable of leading dynamic, open-ended conversations on any topic you define. Users interact through a user-friendly web form, with their answers driving the next AI-generated question. The system meticulously logs all interactions, including timestamps, questions, and responses, for comprehensive analysis. A key feature is the automatic memory management, which clears the AI's conversational context after each interview, ensuring privacy and a fresh start for every new session. This makes the workflow ideal for scalable research, feedback, or training simulations.
Key Features
- Dynamic AI Interviewing: Conduct adaptive, open-ended interviews where an AI agent generates follow-up questions in real-time, enabling deeper insights.
- Configurable Interview Topics: Easily customize the AI agent's focus (e.g., "UK Practical Driving Test Satisfaction") to suit diverse research or feedback requirements.
- Automated Data Logging: Automatically record every question and answer with precise timestamps, ensuring a complete and auditable transcript of each interview session.
- Scalable Form-Based Interface: Provide a user-friendly web form as the entry point, designed to handle multiple simultaneous interviews with robust session management.
- Automatic Memory Management: Ensure privacy and independent interview sessions by clearing the AI's conversational memory upon completion or user-initiated stop.
How To Use
- Configure the
Start Interview(Form Trigger) node: Adjust theformTitle,formDescription, and initialformFields(e.g., "What is your name?") to match your interview's introduction and initial data collection needs. - Set the Interview Topic: Locate the upstream AI Agent node (implied by the sticky notes and memory manager) and define the specific system prompt or "interview topic" that will guide your AI interviewer's questions.
- Review Data Logging (
Generate Rownodes): Ensure theGenerate RowandGenerate Row1nodes are correctly configured to store thetimestamp,typeof interaction,question, andanswerinto your desired database or storage system. - Integrate Session Storage (Optional but Recommended): If planning for high scalability, ensure your n8n instance is configured to use a robust session storage solution like Redis (as suggested in the sticky notes) for managing conversational context.
- Test the Workflow Thoroughly: Run the workflow in test mode to ensure the AI generates relevant questions, user answers are captured correctly, and the interview stop mechanism functions as expected.
Apps Used
Workflow JSON
{
"id": "a986295b-f99f-4c8c-8900-773dbb174064",
"name": "AI-Powered Dynamic Interview Automation",
"nodes": 7,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: a986295b-f99f...
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