AI Interview Automation

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

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