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Using Message Popups in Daily Analysis

What users typically do here

Message popups are used to investigate suspicious or relevant message activity in one working area.

Typical activities:

  • narrow the list by time and filter
  • inspect one message in detail
  • compare correlated messages
  • review statistics
  • inspect payloads where appropriate
  1. narrow by time first
  2. add advanced filters only as needed
  3. inspect status and correlation context
  4. open details for the most relevant entries
  5. use payloads or attachments only when necessary

Typical operational cases

Error investigation

Filter for failed or unusual statuses, then inspect message details and correlated context.

Flow-specific review

Narrow to one package or iFlow to understand whether the issue is isolated or recurring in that area.

Trend validation

Use statistics or repeated filtering to see whether one issue is part of a larger pattern.

Good habits

  • keep the time range realistic
  • use correlation identifiers when many related messages exist
  • read status before diving into payload detail
  • use statistics to confirm whether a message issue is isolated or systemic

Common mistakes

  • searching too broadly and getting lost in noise
  • jumping into payloads without first understanding the context
  • treating one message as representative without checking related entries