AI-Powered Typeform Feedback Sentiment Analyzer & Mattermost Alerter

Unlock Proactive Issue Resolution with this AI Agent

This AI Agent acts as your vigilant feedback monitor. When a customer submits feedback via a Typeform, this agent instantly springs into action. It uses AWS Comprehend, a natural language processing (NLP) service, to perform AI-driven sentiment analysis on the feedback. If the sentiment is identified as negative, the agent immediately sends an alert to a designated Mattermost channel, including the feedback text and the negative sentiment score. This allows your team to swiftly address concerns, improve customer satisfaction, and turn potentially negative experiences into positive outcomes.

Key Features & Benefits

• Automated Feedback Ingestion: Connects directly to your Typeform to capture new submissions as they happen.
• AI-Powered Sentiment Analysis: Leverages AWS Comprehend to accurately determine if feedback sentiment is positive, negative, neutral, or mixed. This agent is configured to act on negative feedback.
• Targeted Negative Feedback Alerts: Immediately notifies your team on Mattermost only when negative feedback is detected, ensuring critical issues get prompt attention.
• Customizable Alert Messages: Tailor the Mattermost notification to include key details from the Typeform submission and the sentiment score.
• Streamlined Workflow: Automates the entire process from feedback collection to sentiment analysis and team alerting, saving valuable time and manual effort.
• Proactive Customer Service: Empowers your B2C e-commerce or B2B SaaS team to respond quickly to unhappy customers, potentially mitigating churn and improving brand loyalty.
• Data-Driven Action: Focuses on immediate action for negative feedback, forming a crucial part of your customer experience management strategy.

• An n8n instance (Cloud or self-hosted).
• AWS credentials with permissions for AWS Comprehend (specifically, the comprehend:DetectSentiment action for the chosen region).
• Typeform account and API credentials.
• Mattermost instance URL, a User Access Token with permissions to post messages, and the ID of the target channel for notifications.

1. Download the n8n workflow JSON file (ai-typeform-sentiment-alert-v1.0.0.json).
2. Import the workflow into your n8n instance.
3. Configure the 'Typeform Trigger' node: a. Select or create new Typeform credentials using your API key. b. Enter your Typeform Form ID that you want to monitor.
4. Configure the 'AWS Comprehend' node: a. Select or create new AWS credentials. Ensure the region is correctly set for your Comprehend service. b. Verify the 'Text' parameter is correctly mapped to your Typeform's feedback field. The default is ={{$json["What did you think about the event?"]}}. Adjust if your Typeform field name from the trigger output is different.
5. The 'IF' node is pre-configured to proceed if the Sentiment (output from AWS Comprehend) is 'NEGATIVE'. You can inspect and adjust conditions if needed (e.g., to include 'MIXED' sentiment or use sentiment scores for thresholds).
6. Configure the 'Mattermost' node: a. Select or create new Mattermost credentials (requires your Mattermost instance URL and a User Access Token). b. Enter the Channel ID where notifications should be sent. c. Customize the Message field. The default message includes the negative sentiment score and the original feedback text: You got new feedback with a score of {{$json["SentimentScore"]["Negative"]}}. Here is what it says:{{$node["Typeform Trigger"].json["What did you think about the event?"]}}.
7. Save and activate the workflow. Test by submitting a sample negative feedback entry through your connected Typeform.