AI-Powered Dynamic Interviewer for Market Research
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Automate in-depth interviews with an AI-powered conversational agent that generates dynamic, follow-up questions. This workflow provides a scalable solution for collecting continuous feedback, like satisfaction surveys, allowing users to exit anytime by simply saying "STOP."
About This Workflow
This n8n workflow revolutionizes traditional market research by deploying an AI-driven interviewer capable of conducting endless, dynamic conversations. Leveraging an AI agent, the system intelligently generates follow-up questions based on previous user input, ensuring deep insights without manual intervention. Users interact through a friendly web form, starting with an introductory question and continuing the interview loop until they explicitly request to stop. The workflow efficiently logs all questions and answers, maintaining conversation context through scalable session management (e.g., via Redis) and clearing memory upon interview completion, making it perfect for gathering rich qualitative data at scale.
Key Features
- AI-Powered Dynamic Questioning: An intelligent agent generates continuous, context-aware interview questions on the fly.
- User-Friendly Web Form Interface: Interviewees engage through a simple, accessible form, making participation seamless.
- Flexible Interview Termination: Users can stop the interview at any point by saying "STOP," putting them in control.
- Comprehensive Data Logging: Automatically records all questions asked and answers provided for easy analysis.
- Scalable Session Management: Designed to handle multiple concurrent interviews efficiently, maintaining individual conversation states.
How To Use
- Configure the
Start Interviewnode: Access the form trigger URL to initiate the interview. Customize the form title, description, and initial fields (e.g., "What is your name?"). - Set the Interview Topic: Locate the "Sticky Note" node titled "Set Interview Topic Here!" and update the associated AI Agent node (not fully shown but implied upstream) with your desired interview subject.
- Integrate AI Agent & Memory: Ensure your AI agent node (e.g., a Langchain node) is correctly configured to generate questions and that a memory manager (like the provided
@n8n/n8n-nodes-langchain.memoryManagernode) handles session persistence (e.g., using Redis). - Connect Data Logging & Reply: The
Generate Rownodes automatically log question-answer pairs, whileSend Reply To Agentprepares user input to be fed back to the AI for the next question. - Test the Workflow: Run a few test interviews through the generated form URL to ensure the AI agent, question flow, and "STOP" command function as expected.
Apps Used
Workflow JSON
{
"id": "e28da8a5-2cf7-43e8-87ec-d43892a35234",
"name": "AI-Powered Dynamic Interviewer for Market Research",
"nodes": 17,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: e28da8a5-2cf7...
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