The Error Insights tab provides an analysis of errors occurring within a customer’s journey. It helps you identify, track, and resolve technical issues, system failures, and processing errors that impact verification performance and user experience.

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Key metrics

The top section displays three main error tracking indicators:
  • Journey sessions with errors: Shows the total number of journeys that encountered one or more errors during execution.
  • Error count: Displays the total number of individual errors recorded across all journey sessions.
  • Journey error rate: Presents the percentage of journey sessions that experienced errors.

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Errors encountered during journey session

This detailed table provides comprehensive error tracking organised by specific error occurrences and their context.
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  • Journey name: Identifies which journey workflow generated the error
  • Date: Shows when the error occurred
  • Journey error stage: Indicates whether errors occurred during journey or module execution
  • Variant name: Specifies which module variant was executed when the error occurred
  • Error: Provides the specific error message in JSON format
  • Error count: Shows how many times this specific error occurred

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Errors by journey stage

This is a pie chart that provides a visual breakdown of where errors occur within the verification process.

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Monthly errors by journey stage

This is a bar chart displaying error trends across different time periods, organised by error stage.

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Ranked variant error occurrences

This is a horizontal bar chart that displays error frequency analysis for different module variants. This ranking helps you identify which module variants generate the most errors.

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Variant errors by journey name

This table provides journey-specific error analysis with filtering capabilities. The interface includes a variant selection list:
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Choose a module or variant name to view the analysis and see how many errors occurred in a variant. You can also select one or more variants to view total error counts displayed by journey name. This helps you identify which journeys have higher error rates for specific variants.