Automated Customer Feedback Collection & Sentiment Analysis

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This n8n workflow streamlines the collection, analysis, and storage of customer feedback through a Google Forms integration, sentiment analysis with OpenAI, and appending results to a Google Sheets document. The process begins with a webhook that triggers when a customer submits feedback via a Google Form. The submitted data is then classified for sentiment (positive, negative, or neutral) using OpenAI’s API. The sentiment analysis result is merged with the original form content to create a comprehensive feedback record. Finally, this enriched data is appended to a Google Sheets spreadsheet for easy tracking and further analysis.

The workflow is structured with several key steps:

1. A webhook captures feedback submissions through a Google Form.

2. The feedback content is sent to OpenAI’s API for sentiment classification.

3. The sentiment output is merged with the original form data.

4. The combined data, including customer details, feedback category, and sentiment, is added to a designated Google Sheets document.

This automation is particularly useful for businesses aiming to monitor customer sentiment in real-time, categorize feedback efficiently, and maintain organized records for service improvement or product development.

Node Count

6 – 10 Nodes

Nodes Used

formTrigger, googleSheets, merge, openAi, stickyNote

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