Event Feedback Sentiment Analysis and Instant Negative Feedback Notification
This workflow is designed to automate the collection of event feedback, using sentiment analysis to identify negative comments in real-time and promptly notifying relevant teams through instant messaging tools. It effectively addresses the challenges of timely screening and responding to feedback collected through traditional methods, enhancing the efficiency of customer care and the ability to manage satisfaction. It is suitable for marketing, customer service, and event planning teams, helping to quickly capture changes in user sentiment and optimize the user experience.
Workflow Name
Event Feedback Sentiment Analysis and Instant Negative Feedback Notification
Key Features and Highlights
This workflow automatically collects event feedback submitted via Typeform forms, utilizes AWS Comprehend for sentiment analysis, identifies negative feedback in real-time, and sends alert messages through Mattermost channels. It enables teams to promptly respond to users’ negative comments.
Core Problems Addressed
It solves the issue of delayed filtering and response to negative feedback after traditional collection methods by implementing automated sentiment evaluation and instant notification, thereby enhancing customer care efficiency and satisfaction management capabilities.
Use Cases
- Collecting participant feedback after events or conferences
- Quickly capturing negative sentiments following customer service or product experience surveys
- Automatically monitoring user sentiment changes during market research
- Internal teams tracking customer feedback dynamics via instant messaging tools
Main Workflow Steps
- Capture user-submitted feedback form data through the Typeform trigger.
- Perform sentiment analysis on the feedback text using AWS Comprehend to determine sentiment category and negative score.
- Use an IF node to assess whether the sentiment is negative.
- If the feedback is negative, automatically push the feedback content and negative sentiment score to a designated Mattermost channel to notify relevant personnel.
- If the feedback is not negative, no action is taken (NoOp node placeholder).
Involved Systems or Services
- Typeform (online survey and form collection)
- AWS Comprehend (natural language processing and sentiment analysis)
- Mattermost (team instant messaging and message delivery)
Target Users and Value
Ideal for marketing, customer service, event planning, and product management teams. It helps quickly identify and respond to negative customer feedback, improves automation and accuracy in user experience management, reduces manual feedback screening workload, and accelerates feedback processing.