This n8n workflow automates the collection and analysis of customer feedback through Typeform, complemented by sentiment analysis, and subsequently organizes and shares insights across various platforms. The workflow starts with a Typeform trigger that captures user responses, specifically their feedback and names. The feedback content is then sent to Google Cloud Natural Language to determine the sentiment score, which gauges whether feedback is positive or negative. An ‘IF’ condition evaluates the sentiment score to determine the nature of the feedback. If the sentiment is positive (score larger than a threshold), the workflow proceeds to store the feedback and user details in a Notion database, providing a central repository for feedback management. Regardless of sentiment, the data is also posted to a Slack channel, allowing real-time team notifications and visibility. Additionally, a Trello card is created with the sentiment score, feedback, and user information, enabling task organization and follow-up. This automated process is ideal for businesses seeking to streamline feedback analysis, improve customer engagement, and efficiently manage insights in a collaborative environment.