Stop Interview?

用于“Stop Interview?”,通过自动化的AI驱动用户访谈,实时生成问题并记录答案,确保高效的数据收集。用户可随时通过输入“STOP”结束访谈,所有会话数据将保存在Google Sheets中,便于后续分析和分享。此工作流程利用Redis确保快速响应,提升用户体验,适合研究人员和数据分析师。

7/8/2025
40 nodes
Complex
webhookcomplexlangchainsticky noteformtriggerformredisrespondtowebhookgooglesheetssplitoutadvancedlogicconditionalintegrationapi
Categories:
Complex WorkflowData Processing & AnalysisWebhook Triggered
Integrations:
LangChainSticky NoteFormTriggerFormRedisRespondToWebhookGoogleSheetsSplitOut

Target Audience

  • Researchers: Looking to conduct user interviews efficiently and gather qualitative data.
    - Product Managers: Need insights into user experiences to improve products.
    - Developers: Interested in integrating AI-driven solutions into their applications.
    - Educators: Want to understand student experiences and gather feedback.
    - Businesses: Aiming to enhance customer satisfaction through feedback collection.
  • Problem Solved

    This workflow automates the process of conducting user interviews using AI, addressing the challenges of traditional interview methods like scheduling, preparation, and data collection. By leveraging AI, it allows for an endless series of questions tailored to the interview topic, making it easier to gather comprehensive insights without the need for a human interviewer.

    Workflow Steps

  • Start Interview: The process begins with a form trigger that collects the user's name and initiates the interview.
    - Create Session: A unique session is created in Redis to store the interview data, ensuring it is retained for 24 hours.
    - AI Researcher: The AI agent generates open-ended questions based on the interview topic, asking one question at a time.
    - User Response: The user provides answers via a form, which are recorded along with timestamps.
    - Stop Interview: The user can end the interview at any time by saying STOP, which triggers the workflow to save the final responses.
    - Save to Google Sheets: All responses are appended to a Google Sheet for easy access and analysis.
    - Show Transcript: At the end of the interview, a transcript of the session is displayed to the user, enhancing the user experience.
  • Customization Guide

  • Change Interview Topic: Modify the interview_topic variable in the Set Interview Topic node to adjust the focus of the interview.
    - Update Questions: Customize the AI's questioning style by altering the systemMessage in the AI Researcher node to reflect the desired tone and approach.
    - Modify Session Storage: If you prefer a different storage solution instead of Redis, adjust the Create Session and Update Session nodes to use your preferred database.
    - Adjust Google Sheets Integration: Change the sheetName and documentId parameters in the Save to Google Sheet node to direct responses to a different spreadsheet.
    - Customize Completion Screen: Update the Redirect to Completion Screen node to change the URL where users are redirected after completing the interview.