Analyze & Tag User Feedback in Notion with GPT-4

This n8n workflow triggers on updates to a Notion Feedback database, employing GPT-4 to perform sentiment analysis (Positive, Neutral, Negative) on each entry. It then assesses if the feedback aligns with existing Insights database items or warrants a new one, automatically tagging with Solution, User Persona, and creating relations between databases. This centralizes qualitative data, enabling product teams to prioritize features effortlessly.

Ideal for product managers, founders, and support teams handling user feedback at scale. Benefits include time savings on manual tagging, actionable insights from unstructured data, and seamless Notion integration without coding. Prerequisites: Notion databases (Feedback & Insights), API credentials for Notion and OpenAI, and the provided template.

Use cases: Aggregate customer reviews into prioritized roadmaps, track sentiment trends across personas, or automate feedback loops in startups. Scales with growing feedback volume, turning raw comments into strategic assets.