Exception Path Mapping (Delivery)

Exception Path Mapping (Delivery)

1. 01

   List every trigger and action in the workflow with its normal completion state

   Document the happy path first so you have a baseline for what 'success' looks like before you hunt for failure modes.

2. 02

   Identify all possible error states for each step, including timeouts, rate limits, and API failures

   Check the platform's documentation for built-in retry policies and error codes. For example, n8n and Pipedream expose detailed execution logs that reveal common failure points.

3. 03

   Trace each error to a concrete business impact, such as a missed lead or a delayed invoice

   Assign a dollar value or time cost to each failure so you can prioritize which exceptions actually need handling.

4. 04

   Design a fallback action for every critical error path, such as a notification to a human or a dead-letter queue

   For high-volume workflows, consider using a platform like Make or Zapier to route failures to a Slack channel or email, ensuring someone always knows when a step breaks.

5. 05

   Test each exception path with a deliberately failed input before launch

   Run a dry run with invalid data to confirm the fallback triggers correctly and that the error message is clear enough for a non-technical client to understand.

6. 06

   Document the exception map in a shared client-facing runbook

   Include the trigger, the error, the fallback action, and the owner for each path. This becomes the reference for ongoing maintenance and for training new team members.

7. 07

   Review the exception map quarterly against actual execution logs

   Update the map as the client's processes change or as new failure modes appear. This keeps the automation resilient and the documentation honest.