This n8n workflow automates the process of analyzing user feedback stored in Notion, categorizing sentiments, and managing insights to enhance product development. When feedback is updated or added in the Notion Feedback database, the workflow triggers actions that utilize AI to perform sentiment analysis, identify if feedback corresponds to existing insights, or if new insights need to be created. The process involves retrieving feedback, analyzing its sentiment with GPT-4, and using an AI agent to decide whether to link feedback to current insights or generate new insights, which are automatically stored in Notion. It streamlines feedback management, helps prioritize issues, and fosters data-driven product improvements.

Node Count	>20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.outputParserAutofixing, @n8n/n8n-nodes-langchain.outputParserStructured, @n8n/n8n-nodes-langchain.sentimentAnalysis, code, merge, notion, notionTool, notionTrigger, set, stickyNote