Slack Ratings System with User Feedback
We're pleased to announce the addition of a ratings system for our Slack integration that allows users to provide direct feedback on bot responses through thumbs up (👍) and thumbs down (👎) reactions. This feature helps teams gather user sentiment and improve bot performance through actionable feedback data.
Users can now rate bot responses with a single click, providing immediate feedback that flows into analytics dashboards. This streamlined feedback collection replaces the need for separate surveys or complex feedback mechanisms, making it easier to understand how well your bot is performing in real conversations.
User Experience and Technical Implementation
The ratings buttons appear alongside other action elements in a single row, maintaining a clean interface that doesn't disrupt conversation flow. Feedback is processed securely using JWT tokens with 24-hour expiration, eliminating the need for external storage while ensuring data integrity.
The system uses queue-based processing for reliable handling of rating submissions, with automatic retry capabilities and error recovery. Users receive instant confirmation when they submit ratings, while background processing ensures data consistency and proper integration with existing analytics systems.
API Integration
The ratings feature is fully integrated across all Slack API endpoints. Both creation and update endpoints accept the ratings parameter in request bodies, while data retrieval endpoints return the ratings configuration in responses. The implementation follows established platform patterns for consistency with other integration options.
All endpoints include updated Swagger documentation with complete parameter specifications, making it straightforward for developers to enable ratings in their Slack integrations.
Analytics and Insights
Ratings data flows through our existing vote system, providing analytics on response effectiveness and user satisfaction patterns. Teams can track which types of responses perform well, identify areas for improvement, and measure bot performance over time.
The ratings integrate with existing analytics dashboards, enabling data export and reporting capabilities. This helps organizations understand user preferences and make data-driven improvements to their bot configurations.
For configuration details and setup instructions, visit our Slack Integration Documentation. This feature is available now for all Slack integration users.