AI-Powered Endless Interviewer for Deep User Insights
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Revolutionize your market research with an AI-driven interviewer that generates dynamic, never-ending questions based on user responses. Capture deep insights effortlessly and at scale, transforming traditional interviews into an automated, insightful experience.
About This Workflow
This n8n workflow empowers you to conduct in-depth interviews with an AI interviewer that dynamically generates questions, creating an endless stream of inquiry. By leveraging a form trigger for user interaction and an AI agent for question generation, this solution allows for continuous data collection. The workflow intelligently parses responses, decides whether to continue the interview or end it, and logs all interactions. With session management and the ability to clear data, it's a scalable and efficient tool for gathering rich user feedback, making traditional, time-consuming interviews obsolete.
Key Features
- AI-Driven Dynamic Questioning: An AI agent generates follow-up questions in real-time, ensuring deep dives into user experiences.
- Endless Interview Loop: Continues asking questions until the user explicitly requests to stop, maximizing data capture.
- Scalable Session Management: Utilizes Redis via Upstash for robust session storage, capable of handling numerous concurrent users.
- Automated Data Recording: Logs timestamps, question types, questions asked, and user answers for comprehensive analysis.
- Conditional Interview Termination: Allows users to end the interview by inputting a 'STOP' command.
How To Use
- Configure the Form Trigger: Set up the
Start Interviewnode (n8n-nodes-base.formTrigger) with your interview title, description, and form fields (e.g., 'What is your name?'). Define the webhook path and response mode. - Set Up the AI Interviewer: Integrate an AI agent node (e.g.,
@n8n/n8n-nodes-langchain.agent) to handle question generation and response parsing. Ensure it's configured to access your LLM. - Implement Interview Logic: Use an
Ifnode (n8n-nodes-base.if) to check for user-defined stop conditions (e.g., the user typing 'STOP'). - Generate Data Rows: Employ
Setnodes (n8n-nodes-base.set) likeGenerate Rowto create structured data for ongoing questions orGenerate Row1for stopping the interview. - Manage Sessions: Utilize a
Memory Managernode (@n8n/n8n-nodes-langchain.memoryManager) to clear interview sessions as needed (e.g.,Clear For Next Interview). - Send Replies: Use
Setnodes to format responses to be sent back to the user or agent.
Apps Used
Workflow JSON
{
"id": "e5cae03f-0c27-479e-833f-80da82686508",
"name": "AI-Powered Endless Interviewer for Deep User Insights",
"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: e5cae03f-0c27...
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