Analyze & Tag User Feedback in Notion with GPT-4 Sentiment Analysis

Overview This n8n workflow processes user feedback automatically, tags it with sentiment, and links it to relevant insights in Notion. It uses GPT-4 to analyze each feedback entry, determine whether it corresponds to an existing insight or a new one, and update the Notion databases accordingly. It helps teams centralize and structure qualitative user feedback at scale. Who It’s For Product teams looking to organize and prioritize user feedback. Founders or solo builders seeking actionable insights from qualitative data. Anyone managing a Notion workspace where feedback is collected and needs to be tagged or linked to features and improvements. Prerequisites A Notion account with: A Feedback

Help me set up the n8n workflow "Analyze & Tag User Feedback in Notion with GPT-4 Sentiment Analysis" (https://n8n.io/workflows/3689). It uses: Notion, Code, AI Agent, OpenAI Chat Model, Simple Memory, Auto-fixing Output Parser, Structured Output Parser, Sentiment Analysis. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.