Turn raw survey answers in Google Sheets into clear insights your team can use. The flow groups similar answers, adds sentiment, and writes results back to a new insights sheet. It suits product and marketing teams that collect open text feedback and want patterns, not long walls of text.
Data loads from your sheet, then answers are paired with their questions and participants. Each answer is turned into a vector using OpenAI and stored in Qdrant with metadata. The flow works question by question, finds similar answers in Qdrant, and runs a K means clustering step. Small clusters are removed, then the remaining groups are summarized by an AI chat model and scored for sentiment. Results are appended to a new sheet so you can share and filter insights in seconds.
Setup needs Google Sheets, OpenAI, and a Qdrant endpoint. You can trigger it by hand in n8n or call it from another workflow. Teams can expect faster analysis with consistent scoring and traceable counts per group. Common uses include UX research, NPS comments, onboarding feedback, and open response surveys from events and beta tests.