AI Customer Feedback Sentiment Analysis in n8n (OpenAI + Google Sheets)

Automatically analyze customer feedback sentiment in n8n using OpenAI and save results to Google Sheets

Turn raw customer feedback into clear sentiment labels (positive/neutral/negative). This n8n workflow takes feedback submitted via a form, uses OpenAI to classify the sentiment, and records the outcome in Google Sheets—so you can review customer sentiment without manual reading.

What this workflow does

• Connect Google Sheets to store incoming feedback and the sentiment result.
• Connect your OpenAI account using your API key and OpenAI organization ID.
• Create a customer feedback form (use your existing form or follow the provided example) and enable the workflow via the form trigger.
• Run OpenAI sentiment classification to label each feedback entry as positive, neutral, or negative.
• Write the sentiment output to Google Sheets using the mapped worksheet structure.

Use cases

• SaaS product feedback tracking: Collect feature requests and user reactions, then quickly spot negative trends.
• Customer support monitoring: Analyze survey comments after support interactions and log sentiment for follow-up.
• Ongoing UX improvement: Use sentiment labels to prioritize onboarding or usability changes based on customer comments.

Technical details

• n8n nodes / components: Merge, OpenAI, Sticky Note, Form Trigger, Google Sheets
• Workflow logic: Form submission → OpenAI sentiment classification → Google Sheets storage
• Example assets provided: An example Google Sheet template is available in the walkthrough, which you can download and use.

Walkthrough: Loom walkthrough

Example Google Sheet: Open the sheet template