Problem

Businesses and course providers often receive large amounts of customer feedback that must be manually reviewed, categorized, documented, and responded to. This process can be time-consuming and may result in delayed responses, inconsistent communication, and missed opportunities to improve customer satisfaction.

Solution

Developed an AI-powered customer feedback automation system that collects course reviews through Google Forms, analyzes customer sentiment using AI, automatically logs feedback data, notifies the internal team through Discord, and sends personalized email responses based on customer ratings and sentiment analysis.

The system streamlines customer feedback management while improving response efficiency and engagement.

Tools Used

• Zapier
• Google Forms
• Google Sheets
• OpenAI ChatGPT
• Discord
• Gmail

How the Automation Works

The automation collects customer feedback submitted through Google Forms and uses AI-powered sentiment analysis to evaluate the tone and intent of each review. Based on the customer’s rating and detected sentiment, the workflow automatically routes the feedback into different response paths to ensure appropriate customer communication.

Customer feedback data is automatically logged into Google Sheets for centralized tracking, while internal team notifications are sent through Discord to keep the team informed of new submissions in real time. The system then generates and sends personalized follow-up emails tailored to the customer’s feedback type, whether positive, neutral, or negative.

This automation streamlines customer feedback management by reducing manual review processes, improving response consistency, and enabling faster, more personalized customer engagement.

Demo Video

Screenshots

• May 12, 2026