Mattermost Automate

Mattermost Automate streamlines feedback management by automatically analyzing sentiment from Typeform responses. When negative feedback is detected, it sends immediate alerts to the designated Mattermost channel, ensuring timely responses and improved user engagement. This workflow enhances communication and facilitates proactive issue resolution.

7/8/2025
5 nodes
Medium
manualmediummattermostnoopawscomprehendtypeformtriggerlogicconditional
Categories:
Communication & MessagingManual TriggeredMedium WorkflowAI Agent Development
Integrations:
MattermostNoOpAwsComprehendTypeformTrigger

Target Audience

  • Event Organizers: Those who collect feedback after events and want real-time sentiment analysis.
    - Customer Experience Managers: Professionals looking to understand customer sentiments and improve service based on feedback.
    - Data Analysts: Individuals who analyze customer feedback and need automated tools to streamline their processes.
    - Developers: Tech-savvy users who want to integrate various services for automated workflows.

    • Problem Solved

    This workflow addresses the challenge of efficiently collecting and analyzing feedback from events. By automating the sentiment analysis process, it enables users to quickly identify negative sentiments and take necessary actions, enhancing overall customer satisfaction and engagement.

    Workflow Steps

  • Trigger: The workflow begins with a manual trigger from a Typeform survey where participants provide feedback about an event.
    2. Sentiment Analysis: The feedback text is sent to AWS Comprehend for sentiment analysis to detect if the sentiment is NEGATIVE.
    3. Conditional Logic: An IF node checks the sentiment result. If the sentiment is negative, the workflow proceeds to notify via Mattermost.
    4. Notification: A message is sent to a designated Mattermost channel, summarizing the feedback and its sentiment score, ensuring that the team is promptly informed about any issues.

    • Customization Guide

  • Change the Feedback Source: Users can replace Typeform with another feedback collection tool by modifying the trigger node.
    - Adjust Sentiment Analysis: Users can modify the parameters in the AWS Comprehend node to analyze different aspects of the feedback or use another NLP service.
    - Modify Notifications: The Mattermost message content can be customized to include different variables or formats based on the user's preference.
    - Add More Conditions: Users can expand the IF node to include more sentiment categories (e.g., POSITIVE, NEUTRAL) to handle various scenarios.