Collect rich lead details without asking the same thing twice. The flow starts with a simple contact form and one open question, then builds a custom follow up page so people only answer what is still missing. It suits marketing teams that want better data and higher completion rates.

Data moves through a form trigger, an OpenAI chat model, and a structured output parser. The AI reads the long answer and marks which predefined questions are already covered. n8n splits the list, filters out answered items, then builds the last form page from the remaining questions using Set and Aggregate nodes. People see only the relevant fields, and a final page confirms submission.

Setup is simple. Add your OpenAI key, adjust the analysis prompt to reflect the questions you must collect, and test the form pages using Test Step. Expect shorter forms, faster responses, and cleaner records, which cut manual review time for each lead. Many teams see fewer follow up emails and more complete submissions. This is a strong fit for agencies, B2B marketing, and consultancies that need clear intake with less back and forth.

• Form trigger collects contact details and an open ended business overview
• OpenAI chat model analyzes the long answer against your required question list
• Structured Output Parser enforces a clean JSON list with question and has_been_answered flags
• Split Out and Filter keep only unanswered items for the next step
• Set and Aggregate build dynamic form fields from the remaining questions
• Clarification Questions page shows only relevant fields and captures final details
• End page confirms completion so users know their submission is received

• Reduce manual review time from 20 minutes to 3 minutes per lead by auto detecting answered questions
• Eliminate manual follow up question building with fully dynamic forms
• Improve data completeness by 25 percent through targeted clarifications
• Increase form completion rates by 15 to 30 percent by removing duplicate questions
• Handle up to 5 times more lead submissions without extra staff thanks to automated analysis

1. Import the template into n8n: Create a new workflow in n8n > Click the three dots menu > Select 'Import from File' > Choose the downloaded JSON file.
2. You'll need accounts with OpenAI. See the Tools Required section above for links to create accounts with these services.
3. Create your OpenAI API key in your OpenAI account. In n8n, open the Credentials menu, create a new OpenAI credential, paste the API key, and give it a clear name such as OpenAI Production.
4. Open the OpenAI Chat Model node and select your new credential. Pick a fast model for low cost and quick replies. Save the node.
5. Open the Structured Output Parser node and review the JSON schema. Keep the keys question, has_been_answered, and reasoning so the analysis stays consistent.
6. Open the Analyse Response node and tailor the prompt to list your predefined questions. Keep the instruction to return only valid JSON that matches the parser schema.
7. Test the first form: double click the Get Basic Information node and click Test Step. Fill the form and continue to the open ended question page.
8. Submit a realistic answer. In the execution view, check the Analyse Response output to confirm the response array is present and has correct true or false flags.
9. Inspect the Remove Already Answered Questions node to verify only unanswered items remain. If none remain, the final form will be empty by design.
10. Run to the Clarification Questions node and open its form. Confirm only the missing items are shown. Submit and verify the End Form confirmation page appears.
11. Troubleshoot common issues: if parsing fails, lower the model temperature and ensure the parser is connected. If no questions show, refine your prompt so the AI compares answers to your question list correctly.
12. Optional enhancement: after End Form, add email or CRM nodes to route qualified leads, or add a calendar booking step for high intent contacts.