Automate Typeform Feedback Sentiment Analysis with Mattermost Notifications
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This workflow analyzes the sentiment of feedback submitted via Typeform using Google Cloud Natural Language. It then conditionally sends a message to Mattermost based on the sentiment score.
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About This Workflow
Overview
This n8n workflow automates the process of capturing feedback from Typeform, analyzing its sentiment using Google Cloud Natural Language, and then notifying a team on Mattermost. The primary goal is to quickly gain insights into customer or user sentiment regarding specific events or topics and to ensure timely communication within a team.
By integrating Typeform, Google Cloud Natural Language, and Mattermost, this workflow allows for proactive identification of positive or negative feedback, enabling quicker responses or celebrations.
Key Features
- Integrates with Typeform to capture feedback submissions.
- Leverages Google Cloud Natural Language API for sentiment analysis.
- Uses an IF node to conditionally route messages based on sentiment score.
- Sends real-time notifications to a Mattermost channel.
How To Use
- Configure the Typeform Trigger node with your specific Typeform form.
- Set up the Google Cloud Natural Language node, ensuring you have the correct credentials and that the content field points to your feedback question.
- Define the conditions in the IF node to determine when a Mattermost notification should be sent (e.g., based on a sentiment score threshold).
- Configure the Mattermost node with your Mattermost credentials and specify the message content and target channel.
Apps Used
Workflow JSON
{
"id": "e3a42ea1-d480-409a-88ba-f3f565445fbe",
"name": "Automate Typeform Feedback Sentiment Analysis with Mattermost Notifications",
"nodes": 0,
"category": "Customer Feedback & Communication",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: e3a42ea1-d480...
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