Automated Feedback Analysis Workflow

This workflow is ideal for:

• Business Owners: Who want to gather and analyze customer feedback effectively.
• Marketing Teams: Looking to assess customer sentiment and improve engagement strategies.
• Product Managers: Aiming to understand user suggestions and enhance product features.
• Customer Support Teams: Seeking to track and respond to user feedback systematically.
• Data Analysts: Who want to automate the integration of feedback data into analysis tools.

This workflow addresses the challenge of collecting and processing customer feedback in a structured manner. It automates the following:

• Feedback Collection: Gathers suggestions from users via Typeform.
• Sentiment Analysis: Evaluates the sentiment of the feedback using Google Cloud Natural Language.
• Data Management: Organizes feedback into Notion and Trello for easy tracking and action.
• Communication: Sends notifications to Slack for immediate awareness of user sentiment.

1. Typeform Trigger: The workflow starts when a user submits feedback through a Typeform.
2. Google Cloud Natural Language: The feedback is analyzed for sentiment, generating a score that indicates positive or negative sentiment.
3. IF Condition: Based on the sentiment score, the workflow decides whether to proceed with further actions.
   • If the score is positive, it continues to the next steps.
4. Notion Integration: Adds the feedback and user details to a Notion database for record-keeping and analysis.
5. Slack Notification: Sends a message to a Slack channel with the feedback and sentiment score for team visibility.
6. Trello Card Creation: Creates a Trello card with the feedback details and sentiment score for task management and follow-up.