Stop Interview?

This workflow is ideal for those looking to conduct user interviews efficiently. It caters to:
- Researchers aiming to gather qualitative data on user experiences.
- UX/UI Designers interested in understanding user perspectives for better product design.
- Educators who want to collect feedback from students or participants in educational programs.
- Companies exploring automated solutions for customer feedback and insights.

This workflow automates the user interview process, addressing key challenges such as:
- Time Consumption: Reduces the time spent on manual interviewing and data collection.
- Scalability: Allows multiple interviews to be conducted simultaneously without additional resources.
- Data Management: Automatically records responses, ensuring no data is lost and facilitating easy analysis.
- User Experience: Provides a seamless and engaging interview experience through an AI-powered interface.

Workflow Process Overview
1. Initiation: The workflow begins with a Form Trigger that collects the user's name and initiates the interview.
2. Session Creation: A unique session ID is generated, and a session is created in Redis to store responses.
3. AI Researcher: An AI agent asks open-ended questions based on the interview topic, dynamically generating questions and prompting user responses.
4. Response Handling: User answers are captured, and each question-answer pair is stored in the Redis session.
5. Stopping the Interview: The user can type 'stop interview' to end the session, which triggers the saving of the interview transcript.
6. Data Saving: The collected data is saved to Google Sheets for easy access and analysis.
7. Completion Screen: A confirmation screen displays the transcript and thanks the user for their participation.

Customizing the Workflow
- Change Interview Topic: Modify the interview_topic parameter in the Set Interview Topic node to tailor the interview focus.
- Adjust Questions: Update the AI Researcher’s system message to change the style or type of questions the AI asks.
- Modify Data Storage: Change the Google Sheets document ID in the Save to Google Sheet node to store responses in a different spreadsheet.
- Webhook URL: Update the redirect URL in the Redirect to Completion Screen node to point to your desired completion page.
- Session Duration: Adjust the TTL (time-to-live) in the Create Session node to change how long responses are stored in Redis.