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AI Interview Automation

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用于“Stop Interview?”,自动化用户访谈流程,通过AI生成问题并记录答案,确保高效收集反馈。访谈可随时结束,所有数据实时保存至Google Sheets,便于后续分析。此工作流程简化了传统访谈的复杂性,节省时间并降低成本。

Workflow Overview

用于“Stop Interview?”,自动化用户访谈流程,通过AI生成问题并记录答案,确保高效收集反馈。访谈可随时结束,所有数据实时保存至Google Sheets,便于后续分析。此工作流程简化了传统访谈的复杂性,节省时间并降低成本。

Researchers, UX/UI Designers, and Educators

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.

Streamlined User Interview Process

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.

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Quick Info

Categories
Complex Workflow
Data Processing & Analysis
+1
Complexity
complex

Tags

webhook
respondtowebhook
advanced
api
integration
logic
conditional
complex
+7 more

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