Auto Tags
Auto tags automatically analyze and categorize your sessions using AI, helping you quickly identify important patterns and issues.What are Auto Tags?
Auto tags are AI-powered labels that are automatically applied to sessions based on their content. They help you:- Identify patterns - Find sessions with similar characteristics
- Track issues - Automatically detect bugs, errors, and user frustrations
- Segment users - Categorize sessions by behavior or outcomes
- Filter sessions - Quickly find sessions matching specific criteria
Creating Auto Tags
Step 1: Navigate to Auto Tags
- Open the Signal app
- Click Auto Tags in the sidebar
- You’ll see tabs for:
- Enabled - Your active auto tags
- Built-in - Pre-configured tags you can enable
- My Tags - Tags you’ve created
Step 2: Create a New Tag
- Click the + Create Tag button
-
Fill in the tag details:
Name (required)
- A short, descriptive name (e.g., “Payment failure”, “Happy customer”)
- Used in filters and session lists
- A detailed description of what this tag should detect
- Examples:
- “User expresses frustration or negative sentiment”
- “Checkout or billing attempt fails”
- “User shows clear positive sentiment”
- Boolean - Tag is either present or not (true/false)
- String - Tag has a text value
- Number - Tag has a numeric value
- Enum - Tag has one of predefined values
- List<enum> - Tag can have multiple enum values
- List of possible values (e.g., [“Low”, “Medium”, “High”])
- One value per line
- Click Create Tag
Example: Creating a Boolean Tag
Example: Creating an Enum Tag
Managing Auto Tags
Enable Built-in Tags
- Go to the Built-in tab
- Browse available tags
- Click Enable on tags you want to use
- Enabled tags will appear in the Enabled tab
Edit Auto Tags
- Go to the Enabled or My Tags tab
- Click the Edit icon (pencil) on a tag
- Modify the description
- Click Save
Note: You can only edit the description. To change the name or output type, create a new tag.
Delete Auto Tags
- Go to the Enabled or My Tags tab
- Click the Delete icon (trash) on a tag
- Confirm deletion
Warning: Deleting a tag removes it from all sessions. Historical data will no longer be tagged.
View Tag Metrics
- Click on a tag name to view its details
- See metrics including:
- Total sessions tagged
- Trend over time - Chart showing tag frequency
- Recent sessions - List of sessions with this tag
Using Auto Tags
Filter Sessions by Tag
- Go to the Replays page
- Use the filter dropdown
- Select tags to filter by
- Sessions matching the selected tags will be shown
View Tagged Sessions
- Go to the Auto Tags page
- Click on a tag name
- View all sessions with that tag
- Click on a session to view its replay
Export Tagged Sessions
- Filter sessions by tag
- Use the export feature to download session data
- Analyze tagged sessions in external tools
Best Practices
Writing Good Descriptions
- Be specific - Clearly describe what should be detected
- Include context - Mention relevant user actions or events
- Use examples - Reference specific scenarios when helpful
- Avoid ambiguity - Make it clear what qualifies
Choosing Output Types
- Use Boolean for yes/no categories (e.g., “Bug encountered”, “Payment success”)
- Use Enum for categories with multiple options (e.g., “Priority: Low/Medium/High”)
- Use String for free-form text (e.g., “Error message”)
- Use Number for numeric values (e.g., “Cart value”, “Page load time”)
Tag Organization
- Group related tags - Use consistent naming (e.g., “Payment failure”, “Payment success”)
- Start simple - Begin with boolean tags, add complexity as needed
- Review regularly - Check tag accuracy and adjust descriptions
Common Auto Tags
User Experience Tags
- Angry user - User expresses frustration or negative sentiment
- Happy customer - User shows clear positive sentiment
- Onboarding friction - User gets stuck during signup or first-run
Technical Tags
- Bug encountered - Visible error or broken UI is encountered
- Performance issue - Slow page loads or laggy interactions
- Network error - Failed API requests or network problems
Business Tags
- Payment failure - Checkout or billing attempt fails
- Churn risk - Signals indicate potential churn
- Feature request - User requests a missing capability
- Pricing frustration - User complains about price or discounts
Troubleshooting
Tag Not Appearing on Sessions
- Check description - Ensure it clearly describes what to detect
- Wait for processing - Tags are applied as sessions are analyzed
- Review examples - Check if similar sessions are tagged correctly
Tag Too Broad or Too Narrow
- Refine description - Add more specific criteria or examples
- Split tags - Create separate tags for different scenarios
- Combine tags - Use filters to combine multiple tags
Incorrect Tag Values
- Update description - Clarify what should be detected
- Check enum values - Ensure all valid options are included
- Review examples - Verify tag is working as expected
