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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 and customisable views.

Key Features

  • Real-time workflow execution tracking

  • Detailed run history with status monitoring

  • Advanced filtering and saved views

  • Performance metrics and visualisations

  • Run trace analysis for debugging

  • Export and sharing capabilities

How to Access Activity Monitoring

  1. Navigate to the main Lleverage interface

  2. Click on the "Activity" tab in the navigation menu

  3. The activity dashboard loads with the last 30 days of data by default

  4. View your workflow runs in the main 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

    • Aborted - Manually stopped

    • Pending - Currently executing or awaiting action

  • Type: How the workflow was triggered

    • App (Form or Chat interface)

    • API

    • Schedule

    • Integration

  • Environment: Production or Workflow Builder

  • Feedback: Any user feedback provided

  • Run Time: Duration of the execution

⚠️ Pending status indicates workflows that may be waiting for human input through Operator Actions.

How to Filter Activity Data

Available Filters

  1. Date Range:

    • Last 24 hours

    • Last 7 days

    • Last 30 days (default)

    • Custom range

  2. Workflow: Select specific workflows to monitor

  3. Status: Filter by success, failed, aborted, or pending

  4. Type: Filter by trigger type (App, API, Schedule, Integration)

  5. User: View runs by specific users

  6. Feedback: Filter runs with feedback

How to Apply Filters

  1. Click on any filter dropdown in the filter bar

  2. Select your desired filter options

  3. Multiple filters can be combined for precise results

  4. The table updates automatically as filters are applied

  5. Clear individual filters or reset all filters as needed

💡 Combine multiple filters to investigate specific issues, such as all failed API calls in the last 24 hours.

How to Create Saved Views

Creating a Saved View

  1. Apply your desired combination of filters

  2. Click the "Save" button in the filter bar

  3. Provide a descriptive name for your view

  4. Click "Create" to save the view

  5. Your saved view appears in the "Saved Views" tab

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 Activity Visualisations

Snapshot Metrics

The dashboard displays three key metrics based on your current filters:

  • Total Runs: Overall workflow executions

  • Unsuccessful Runs: Failed and aborted runs

  • Average Duration: Mean execution time

Data Visualisations

Toggle between different views using the tabs above the table:

  • Table View: Detailed run-by-run information

  • Run vs Errors: Compare successful and failed executions

  • Activity Timeline: Visualise run patterns over time

💡 Use the Activity Timeline to identify peak usage periods and performance trends.

How to Analyse Individual Runs

Viewing Run Details

  1. Click on any row in the activity table

  2. 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

Using Trace Analysis

  1. In the run details, click on "Traces"

  2. View the step-by-step execution path

  3. See inputs and outputs for each action

  4. Identify where failures occurred

  5. Understand processing time for each step

⚠️ Trace analysis is invaluable for debugging complex workflows and optimising performance.

Additional Run Actions

From the run details view, you can:

  • Test: Re-run the workflow with the same inputs

  • View Workflow: Open the workflow in the builder

  • Copy Data: Export input/output for analysis

How to Share Activity Data

Sharing Current View

  1. Apply your desired filters and view settings

  2. Click the "Share" button in the top right corner

  3. A shareable link is copied to your clipboard

  4. Send this link to team members

  5. Recipients see the same filtered view when they open the link

💡 Shared links maintain filter settings but show current data, making them perfect for collaborative monitoring.

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

  • Check input data for validation issues

  • Compare successful vs failed runs

  • Look for patterns in failure times or users

For Reporting

  • Create saved views for standard reports

  • Export data for external analysis

  • Use visualisations for stakeholder updates

  • Track trends over custom date ranges

💡 The Activity tab is your command centre for workflow operations. Regular monitoring helps maintain reliable automation performance.

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