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UK Practical Driving Test Satisfaction Interview

This workflow creates an automated user interview system that utilizes AI smart agents to guide the interviews and dynamically generate open-ended questions. Users respond through an online form, and the system records the conversation in real-time, allowing the interview to be ended at any time. Interview data is quickly stored in Redis and can be exported to Google Sheets for easier subsequent analysis. This system reduces the labor costs associated with traditional interviews and provides an efficient interview experience available 24/7, making it suitable for various scenarios such as market research, product feedback, and educational institutions.

Workflow Diagram
UK Practical Driving Test Satisfaction Interview Workflow diagram

Workflow Name

UK Practical Driving Test Satisfaction Interview

Key Features and Highlights

This workflow leverages the n8n automation platform combined with an AI language model to create an automated user interview system. The interview is initiated and guided by an AI intelligent agent that dynamically generates and poses open-ended questions. Users respond via an online form, with the system recording the conversation in real time. Users can type “stop interview” at any time to end the process. Interview data is synchronized and stored in Redis for fast session management, and ultimately exported to Google Sheets for subsequent data analysis. Additionally, a complete interview transcript webpage is displayed after the interview ends to enhance user experience.

Core Problems Addressed

Traditional user interviews require significant human effort for preparation and execution, resulting in high time costs and difficulty in scaling efficiently. This workflow uses an AI agent to automate the interview process, greatly reducing resource consumption and enabling seamless, 24/7, cross-time-zone interviews. Automated data storage and export facilitate rapid access and analysis of interview results by researchers.

Application Scenarios

  • Large-scale user satisfaction surveys by market research teams
  • Collecting user feedback and experience insights by product managers
  • Understanding learner experiences in educational or training institutions
  • Any scenario requiring automated, continuous interviews

Main Process Steps

  1. Initiate Interview: User triggers the interview by submitting their name via a form.
  2. Create Session: A unique session ID is generated and an empty session record is created in Redis to store interview content.
  3. Set Interview Topic: The system sets the theme for the interview (e.g., UK driving test experience).
  4. AI Question & User Answer Loop: The AI agent generates new open-ended questions based on the topic and previous answers; users submit responses via the form.
  5. Record Interview Content: Each Q&A pair is formatted and appended to the Redis session list.
  6. Interview End Detection: When the user inputs “stop interview,” the Q&A loop terminates and session memory is cleared.
  7. Save to Google Sheets: The complete interview record is exported to Google Sheets for team sharing and analysis.
  8. Display Interview Transcript: A webhook-triggered web interface allows users to view the full conversation transcript after the interview ends.

Involved Systems and Services

  • n8n Platform: Overall automation workflow management and node orchestration
  • n8n Form Node: Collects user inputs (starting interview and answering questions)
  • AI Language Model (Groq llama-3.2-90b-text-preview): Generates interview questions and enables intelligent interaction
  • Redis (hosted via Upstash): High-speed storage of interview session data, supporting multi-turn Q&A state management
  • Google Sheets: Stores and shares interview data for team analysis
  • Webhook & HTML Nodes: Display the complete interview transcript webpage after completion

Target Users and Value

  • User Researchers: Quickly gather large volumes of user feedback through automated interviews, saving time and labor costs.
  • Product Managers and Market Analysts: Gain deep user insights to support product optimization and decision-making.
  • Educational and Training Institutions: Easily collect learner feedback to improve service quality.
  • Developers and Automation Enthusiasts: Learn how to integrate AI with n8n to build intelligent interactive workflows and enhance automation capabilities.

This workflow significantly improves the efficiency and scalability of user interviews while ensuring interview quality and data integrity, serving as an excellent example of AI-empowered user research.