AI-Driven Infinite Loop User Interview System
This workflow utilizes an AI language model to automate user interviews, capable of generating open-ended questions and recording user responses in real-time. Users initiate the interview through a form, and the interview data is stored in a Redis database and synchronized to Google Sheets for easy data analysis and sharing. Users can end the interview at any time, and the interview records can be accessed via a Webhook, ensuring data security and efficient management. This system is suitable for market research, user experience studies, and academic surveys, greatly enhancing the flexibility and efficiency of interviews.
Tags
Workflow Name
AI-Driven Infinite Loop User Interview System
Key Features and Highlights
- Utilizes AI language models to automatically generate open-ended interview questions, enabling infinite loop questioning.
- Initiates interviews via form triggers, facilitating effortless collection of user responses.
- Records interview Q&A pairs in real-time, building a complete dialogue history.
- Allows users to terminate the interview anytime by entering the “STOP” command.
- Stores interview data in real-time within a Redis database, ensuring efficient session management and rapid response.
- Automatically syncs interview results to Google Sheets for easy data sharing and subsequent analysis.
- Provides access to a web-based display of the full interview record via Webhook after the interview concludes.
- Employs Redis session management with automatic data expiration after 24 hours to ensure data security.
Core Problems Addressed
Traditional user interviews are often time-consuming, labor-intensive, and costly to prepare and execute. This workflow automates the interview process through an AI-driven interviewing agent, reducing human resource demands while enhancing flexibility and efficiency. Real-time data storage and export simplify team analysis and data sharing.
Use Cases
- Market Research: Gather in-depth user feedback on products or services.
- User Experience Research: Understand users’ genuine feelings and needs when using products.
- Academic Surveys: Automate questionnaire-style interviews to collect qualitative data.
- Remote Interviews: Enable users to participate online anytime without face-to-face interaction.
- Product Validation: Continuously probe user pain points and improvement suggestions through ongoing questioning.
Main Process Steps
- Start Interview: User inputs their name via a web form, triggering the interview process and generating a unique session ID.
- Set Interview Topic: The system sets the interview theme (e.g., “Real Driving Test Experience in the UK”).
- AI Questioning: The AI interview agent automatically generates the next open-ended question based on the user’s previous answer.
- Collect Answers: User responds via the form or inputs “STOP” to end the interview.
- Record Data: Each question and answer pair is written in real-time to the Redis session list and simultaneously saved to Google Sheets.
- End Interview: Upon detecting the user’s end request, session data is cleared and the user is redirected to the interview completion page.
- Display Interview Record: Via Webhook access, users and teams can view a web-based presentation of the complete interview transcript.
Involved Systems and Services
- n8n Form Trigger: Initiates the interview and collects user input.
- LangChain AI Agent Node: Automatically generates interview questions and processes user answers.
- Redis (hosted via Upstash): High-performance session storage managing interview data and states.
- Google Sheets: Stores and shares interview results.
- Webhook and HTML Nodes: Provide dynamic web page display after interview completion.
- UUID Generation Node: Creates unique identifiers for each interview session.
Target Users and Value Proposition
- Product Managers & User Researchers: Automate interview workflows, reduce manual effort, and improve data collection efficiency.
- Market Research Teams: Rapidly gather large volumes of user feedback and accurately identify user needs.
- Developers & Automation Engineers: Build intelligent interview bots, integrate multiple services, and enable efficient data flow.
- Educators & Academic Researchers: Conveniently conduct qualitative interviews, enhancing research data quality and acquisition speed.
- Any Organizations or Individuals Requiring Continuous User Interviews: Leverage AI to conduct 24/7 interviews, overcoming time and geographic constraints.
This workflow centers on AI combined with modern automation technologies to create a flexible, efficient, and scalable user interview platform. Suitable for both small teams and large enterprises, it enables automated intelligent interviewing and data management, significantly boosting interview effectiveness and user experience.
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