Generate Dynamic AI Forms, Eliminate Redundant Questions
Improve form completion rates by dynamically adapting questions with AI, capturing essential information 2x faster and enhancing user satisfaction.
Traditional forms often annoy users with redundant questions, leading to incomplete data and high drop-off rates. This workflow leverages AI to dynamically generate follow-up questions based on initial responses, streamlining data capture and enhancing the user experience.
Documentation
Dynamic AI Forms: Streamline Data Capture
This n8n workflow intelligently tailors forms using AI, ensuring your users only answer necessary questions. It's designed for businesses aiming to gather comprehensive data without sacrificing user experience or conversion rates, particularly useful for lead qualification in scenarios like an AI consultancy.
Key Features
- AI-Powered Question Generation: Utilizes OpenAI to analyze initial responses and identify unanswered critical questions based on predefined criteria.
- Eliminate Redundancy: Dynamically filters out already answered questions, presenting users with a concise, personalized follow-up form.
- Optimized User Experience: Reduces form fatigue and improves completion rates by asking only relevant clarification questions.
- Structured Data Capture: Ensures all vital information is collected efficiently, even from open-ended initial inputs, using a robust output parser.
How It Works
The workflow begins by collecting basic user information and a broad, open-ended response via an initial form. An OpenAI Chat Model, paired with a Structured Output Parser, meticulously analyzes this input against a predefined set of critical questions. It identifies which questions have been adequately addressed and filters out any redundant inquiries. Finally, it dynamically generates a follow-up form containing only the unanswered questions, ensuring a highly efficient and user-friendly data collection process. Upon completion, a confirmation page is displayed.