AI Fields
ClearFeed automatically detects category, sentiment, and CSAT from a conversation
AI Fields are intelligent tags automatically assigned to incoming support requests or tickets based on the context of the conversation within the related Slack thread.
Auto-Category
ClearFeed uses AI to automatically categorize tickets into the following categories:
Feature Requests: Requests for new product features or enhancements to existing features.
Bug: Issues where the user reports a malfunction or error in the product.
How to Question: General queries from users on how to use the product or specific features.
Problem Report: Requests for reporting issues with a product or service that might not be a bug.
Requests: General requests from users to enable a feature or get some service.
Each request may have multiple AI fields, meaning it could be tagged with more than one category based on the issue discussion.

Auto-CSAT
ClearFeed computes customer satisfaction and is continuously updated whenever a request or a ticket is updated. We categorise the CSAT into the following:
Very Positive
Positive
Neutral
Negative
Very Negative

Auto-Emotion
Auto-Emotion represents the detected sentiment of a customer based on the overall request discussion. The following values are added as a part of the sentiment analysis:
Positive
Neutral
Negative

Filter using AI Fields
You can view and filter support requests based on the AI fields assigned by ClearFeed directly from the ClearFeed dashboard. Here’s how:
Navigate to the ClearFeed Dashboard: Log in to your ClearFeed account and head to the dashboard.
Click on Add Filter:
From the dropdown menu, select the desired field among: Auto-Category, Auto-CSAT, and Auto-Emotion.

Category Summary
After applying the filters to get the requests of the desired categories, you can also read a summary of the thread. Here's how:
Click on any Request
Expand the AI Fields section from the right-hand panel
Hover over the categories to read the context behind the categorization

Understanding Categorization
ClearFeed's AI algorithm continuously monitors incoming requests and updates categories based on the following criteria:
Public Comments: Whenever a public comment is added to a ticket, ClearFeed automatically re-analyzes the conversation and updates the AI fields as needed. This ensures that the most recent context is captured and reflected in the category tags.
Ticket Resolution: When a ticket is solved, ClearFeed performs another analysis to update the fields, ensuring that any additional information provided during the resolution process is captured.
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