Automate Feedback Sentiment Analysis and Alert on Mattermost

Automate sentiment analysis of your Typeform feedback using AWS and instantly notify your team of negative comments in Mattermost to take quick action.

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    Workflow Overview

    What is this?

    What is this?

    This workflow automatically triggers whenever a new response is submitted to your Typeform. It uses Amazon Web Services (AWS) Comprehend to perform a sentiment analysis on the feedback text. If the sentiment is identified as negative, a custom notification is immediately sent to a specified Mattermost channel to alert your team.
    What problem does it solve?

    What problem does it solve?

    Tired of manually sifting through feedback forms and potentially missing critical negative comments? This automation eliminates the delay and risk of human error, ensuring your team can address unhappy users before issues escalate.
    What will you get?

    What will you get?

    You will achieve real-time awareness of customer sentiment without any manual monitoring. This enables your support or product teams to proactively engage with users who provide negative feedback, improving retention. The process also provides a structured way to triage and prioritize customer issues, saving hours of administrative work.

    Apps Included

    • If
    • AWS Comprehend
    • Mattermost
    • Typeform Trigger
    • No Operation
    • do nothing

    How to Use

    Prerequisites

    Setup Steps

    1

    Configure Typeform Trigger

    Select your Typeform credentials from the dropdown menu. In the 'Form' field, choose the specific form you want to monitor for new submissions.

    2

    Set Up AWS Comprehend Node

    Connect your AWS credentials. In the 'Text' field, use the expression editor to map the output from the Typeform node that contains the user's feedback text.

    3

    Define the Logic with the IF Node

    Add a condition to check the sentiment output from the AWS Comprehend node. Set the condition to check if the 'Sentiment' value is equal to 'NEGATIVE'.

    4

    Customize the Mattermost Alert

    Connect this node to the 'true' output of the IF node. Select your Mattermost credentials, specify the target 'Channel ID', and craft your alert message. You can include dynamic data from both the Typeform and AWS nodes for a detailed report.

    Pro Tips

    1
    Expand this workflow by adding a Google Sheets or Airtable node after the Mattermost node to create a comprehensive log of all negative feedback for long-term analysis.
    2
    Adapt this for social media monitoring by replacing the 'Typeform Trigger' with a 'Twitter' node to analyze brand mentions or specific hashtag sentiments in real-time.
    3
    Consider adding an error-handling branch to get notified in a separate channel if any step in the workflow fails, ensuring a robust process.

    Information

    • Published date8/11/2025
    • Last updated8/11/2025

    Platform