This workflow automates the collection, analysis, and classification of customer feedback using AI, enabling teams to understand sentiment and react instantly without manual review.

The workflow starts when a user submits feedback through an online form.

Once triggered, the workflow performs the following steps:

• Collects customer input, including the user’s name and written feedback.
• Sends the feedback text to an AI-powered sentiment analysis engine.
• Analyzes the feedback and classifies it into a clear sentiment category (Positive or Negative).
• Uses structured AI output to ensure consistent and reliable classification results.

Automatically routes the feedback based on sentiment:

• Positive feedback is logged and shared with internal teams.
• Negative feedback is flagged for immediate attention.
• Sends real-time notifications to communication channels such as Telegram and Slack.
• Stores all feedback data, sentiment status, and user details in Google Sheets for centralized tracking and analysis.
• Ensures feedback records are updated or appended without duplication.

This workflow is ideal for:

• Product teams
• Customer support teams
• SaaS companies
• E-commerce platforms
• Businesses collecting ongoing user reviews

Key Benefits

• Fully automated feedback analysis
• AI-powered sentiment classification
• Real-time alerts for negative feedback
• Centralized and searchable feedback database
• Faster response to customer issues
• Reduced manual review effort