Automate User Interviews & Capture Insights with AI Agents
Conduct unlimited, in-depth user interviews automatically, reducing research time by up to 80% and ensuring comprehensive data capture for improved insights.
Manual user interviews are costly and time-consuming, requiring significant preparation and execution effort. This workflow automates dynamic AI-powered interviews, capturing in-depth user insights and recording answers for seamless analysis.
Documentation
Automated AI Interview Agent: Streamline User Research
Manual user interviews are time-consuming and expensive. This n8n workflow leverages AI to conduct dynamic, open-ended interviews, automatically capturing and storing user responses for efficient analysis. Perfect for researchers, product managers, and marketers seeking deeper user insights with less effort.
Key Features
- Dynamic AI Questioning: An intelligent AI agent asks relevant follow-up questions, driving deeper insights based on user responses.
- Automated Data Capture: All interview questions and answers are seamlessly recorded into Google Sheets, ready for analysis.
- Persistent Session Memory: Utilizes Redis to maintain conversation context, ensuring a natural and continuous interview flow.
- Customizable Interview Topic: Easily adapt the AI agent to research any specific domain or user experience.
- Interactive Forms: User-friendly n8n forms guide interviewees through the process.
- Transcript Generation: Provides a full interview transcript upon completion for easy review.
How It Works
The workflow begins with a customizable n8n form that starts the interview and collects initial user information. A unique session ID is generated and stored in Redis, serving as a dynamic transcript for the conversation. An AI agent, powered by Groq and LangChain, then takes over, asking intelligent, open-ended questions based on a predefined topic. Each user answer is captured via an n8n form, recorded in the Redis session, and fed back to the AI for the next question, creating a continuous feedback loop. When the user indicates they wish to stop, the interview gracefully concludes. The entire conversation transcript is then saved to a Google Sheet for analysis and presented on a custom completion screen.