Activity Monitoring
The Activity tab provides comprehensive analytics and monitoring for all your workflow executions. Track performance, identify issues, and analyse usage patterns across your organisation with detailed run history, powerful filtering, and customisable saved views.
💡 In projects using the agent-first navigation, this tab is called Monitor. The functionality is the same.
Key Features
Real-time workflow execution tracking
Detailed run history with status monitoring
Advanced filtering, including metrics and session lookups
Saved views with pinning and locked filters
Customisable dashboard with stat cards and charts
User feedback collection and analysis
Run trace analysis for debugging
Export and sharing capabilities
How to Access Activity Monitoring
Navigate to the main Lleverage interface
Click on the "Activity" tab in the navigation menu
The default "All Activity" view loads, showing the last 30 days of Live (production) runs
View your workflow runs in the activity table
💡 The Activity tab updates in real-time as workflows execute, giving you live insights into your automation performance.
Understanding the Activity Table
Table Columns
Timestamp: When the workflow run started
Workflow: Name of the workflow that was executed
User: Who triggered or actioned the workflow
Status: Current state of the run
Success - Completed successfully
Failed - Encountered an error
Paused - Waiting, for example on human input
Aborted - Manually stopped
Timeout - Ran out of time
Running - Currently executing
Type: How the workflow was triggered
App (Form or Chat interface)
API
Schedule
Integration
Data Table
Environment: Live (production) or Builder (test runs from the workflow builder)
Feedback: User ratings and comments on the workflow execution
Run Time: Duration of the execution
💡 You can filter directly from the table: column headers for status, type, environment, user, feedback, and action type include a "Filter by" option.
Choosing What Each Row Represents
Use the Breakdown by control in the toolbar to switch what the table shows:
Session: One row per session (default)
Execution: One row per workflow execution
Action: One row per individual action
The Group by control changes the time bucketing of the charts between Day, Week, and Month.
How to Filter Activity Data
Click the Filter button to open the filter menu, then pick a category. Active filters appear as chips next to the button.
Available Filters
Date: Last 24 hours, Last 7 days, Last 30 days (default), Since, or a custom range
Workflow: Select specific workflows to monitor
Status: Success, Failed, Paused, Aborted, Timeout, or Running
Type: Filter by trigger type (App, API, Schedule, Integration, Data Table)
Users: View runs by specific users or API keys
Feedback: Positive, Negative, or Any Feedback
Action Type: Filter by the types of actions used in the run
Environment: Live or Builder
Session ID: Paste a session ID to jump straight to a specific session
Metrics: Each metric configured in your project gets its own filter, with operators such as Equals, Contains, and Greater than
Advanced: Field-based criteria, such as Duration (ms)
How to Apply Filters
Click the "Filter" button in the filter bar
Select a category and choose your options
Multiple filters can be combined for precise results
The table and charts update automatically as filters are applied
Remove a chip to clear that filter
💡 Combine multiple filters to investigate specific issues, such as all failed API calls in the last 24 hours. Your current filters are reflected in the page URL, so you can share the link with a team member and they'll see the same view.
How to Use Workflow Feedback
Understanding Feedback
Users can provide feedback on workflow runs to help improve automation quality:
👍 Thumbs up: Indicates a positive experience
👎 Thumbs down: Indicates issues or dissatisfaction
💬 Comments: Additional context about the experience
How to Filter by Feedback
Click on the Feedback filter
Select from the available options:
Positive: Shows only runs with thumbs up
Negative: Shows only runs with thumbs down
Any Feedback: Shows all runs with any type of feedback
Combine with other filters to analyse specific feedback patterns
💡 Use feedback filters to identify workflows that may need improvement or to highlight successful automations for replication.
How to Use Saved Views
Saved views appear as tabs at the top of the Activity page. Every project starts with a default All Activity view, and you can create as many additional views as you need.
Creating a Saved View
Click the "+" button next to the view tabs
Give your view a name and an optional description
Choose the filters the view should apply
Click "Create" — the view appears as a new tab
Understanding Locked Filters
When a saved view is active, the filters that are part of the view appear as locked chips with a dashed border. They can't be removed or edited directly — hovering shows "This filter is part of the saved view".
You can still add filters on top of a locked filter; your additions appear as a separate, editable chip
To change the view's own filters, right-click the view tab and choose Edit, or make your changes and click Update view in the toolbar to save them into the view
⚠️ This applies to the default "All Activity" view too: its Date and Environment filters are locked. Add your own filters on top, or create a new view for a different baseline.
Managing Views
Right-click a view tab to:
Pin to sidebar: Quick access from the navigation
Edit: Change the view's name, description, and filters
Delete: Remove the view (the default view can't be deleted)
A view remembers more than filters: column layout, grouping, row size, charts, and dashboard layout are all saved with it. When you've changed any of these, click Update view to persist your changes.
Benefits of Saved Views
Quick access to frequently used filter combinations
Consistent monitoring across team members
Foundation for setting up alerts
Time-saving for regular reporting
💡 Create saved views for common monitoring scenarios like "Daily Failed Workflows" or "High-Volume API Calls".
Understanding the Monitoring Dashboard
The area above the table is a customisable dashboard. By default it shows four stat cards based on your current filters:
Total Sessions: Overall workflow sessions
Successful: Runs that completed successfully
Failed: Runs that encountered an error
Avg Duration: Mean execution time
Charts
The Runs vs Errors chart is shown by default. Use the edit (pencil) button to add more:
Timeline: Visualise run patterns over time
Successful Runs and Failed Runs: Track outcomes separately
Avg Duration: Spot performance trends
Feedback: Track ratings over time
Metric charts: One available per metric configured in your project
Click a bar in any chart to focus the whole page on that time bucket — a "Focus" chip appears in the filter bar, and you can remove it to zoom back out.
💡 Charts can also be pinned to your project dashboard, so key trends are visible as soon as you open the project.
Customising the Layout
Click the edit (pencil) button in the toolbar
Add, move, or resize cards, charts, and the activity table
Click "Done editing" to finish, then "Update view" to save the layout into the current view
How to Analyse Individual Runs
Viewing Run Details
Click on any row in the activity table
A detailed view opens showing:
Complete input data provided by the user
Full output returned by the workflow
Execution traces for each step
Error messages if applicable
User feedback if provided
Using Trace Analysis
In the run details, click on "Traces"
View the step-by-step execution path
See inputs and outputs for each action
Identify where failures occurred
Understand processing time for each step
⚠️ Trace analysis is invaluable for debugging complex workflows and optimising performance.
How to Export Activity Data
Apply your desired filters
Click the "Export" button in the toolbar
Choose "Export CSV" or "Export Excel"
💡 Exports respect your current filters, making them perfect for reporting on exactly the runs you're looking at.
Best Practices
For Performance Monitoring
Regularly review average duration metrics
Investigate workflows with increasing run times
Set up saved views for performance tracking
Monitor failed run patterns for systemic issues
For Debugging
Use trace analysis for failed runs
Use the Session ID filter to jump straight to a reported session
Compare successful vs failed runs
Look for patterns in failure times or users
Review user feedback for additional context
For Reporting
Create saved views for standard reports
Export data as CSV or Excel for external analysis
Use charts for stakeholder updates
Track trends over custom date ranges
Include feedback analysis in quality reports
For Continuous Improvement
Regularly analyse negative feedback
Identify workflows with low satisfaction rates
Use positive feedback to understand best practices
Act on user comments and suggestions
💡 The Activity tab is your command centre for workflow operations. Regular monitoring helps maintain reliable automation performance and user satisfaction.
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