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In Architect flows, the Set Participant Data action processes updates asynchronously. After the action is triggered, the platform acknowledges the request and then completes the data update through internal event-driven processing.
Because of this architecture, there can be a brief interval between:
In time-sensitive scenarios, such as immediately retrieving the same participant data value or transferring to another flow that depends on that value, the data may not yet reflect the most recent update. In these cases, the value could temporarily appear:
This behavior is expected in distributed systems that rely on asynchronous processing.
If your flow logic depends on immediate availability of the newly written participant data, implement a short validation loop before proceeding to downstream actions. A recommended pattern is:
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