Course recommendation system for surveys with data tables and GPT-4.1-Mini
Use the n8n Data Tables feature to store, retrieve, and analyze survey results — then let OpenAI automatically recommend the most relevant course for each respondent. --- 🧠 What this workflow does This workflow demon...
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Use the n8n Data Tables feature to store, retrieve, and analyze survey results — then let OpenAI automatically recommend the most relevant course for each respondent.
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🧠 What this workflow does This workflow demonstrates how to use n8n’s built-in Data Tables to create an internal recommendation system powered by AI.
It: - Collects survey responses through a Form Trigger - Saves responses to a Data Table called Survey Responses - Fetches a list of available courses from another Data Table called Courses - Passes both Data Tables into an OpenAI Chat Agent, which selects the most relevant course - Returns a structured recommendation with: - course: the course title - reasoning: why it was selected
> Trigger: Form submission (manual or public link)
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👥 Who it’s for Perfect for educators, training managers, or anyone wanting to use n8n Data Tables as a lightweight internal database — ideal for AI-driven recommendations, onboarding workflows, or content personalization.
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