We are observing a discrepancy between our external telephony records and the Genesys Cloud Performance Dashboard metrics for the Sales Queue.
The environment is running on version 23.090.0.0 in US-East-1.
Specifically, the Average Handle Time appears to be consistently lower than the CRM logs by approximately twelve seconds.
We have verified that the Disconnect block is firing correctly within the flow.
Does the Performance Dashboard aggregate data differently for external transfers?
We require accurate reporting for our Q3 stakeholder review.
This integration pattern works seamlessly with the Java SDK.
The issue often occurs when using the Push API incorrectly for custom metrics.
The Data Action endpoint requires specific timestamps.
Check the JSON payload structure below:
{
"action": "updateEntity",
"entityType": "contactCenterEvent",
"properties": {
"customDuration": 12000
}
}
Ensure the timestamp aligns with the session start time.
This approach allows real-time updates to the dashboard via the integration layer.
The documentation covers this under Custom Metrics ingestion.
Comparing this to Talkdesk, Genesys Cloud has a known latency window for data aggregation.
NICE CXone processes these events slightly faster due to their streaming architecture.
However, GC provides more flexibility with custom fields.
The delay usually stems from the ingestion pipeline processing batch updates rather than individual stream events.
Verify the data action trigger frequency.
If running every second, this reduces load but might impact dashboard freshness.
A balanced approach works best for enterprise reporting requirements.
Why does everyone ignore the Architect limitations here?
The Disconnect block simply sends an HTTP request to the endpoint if configured.
If the external system is down, the flow hangs unless there is a timeout set.
We manage over fifty flows and this pattern causes massive bloat.
Use a Data Action wrapper instead of direct HTTP calls within the flow.
Otherwise, error handling becomes impossible to maintain.
The frustration level with these custom integrations is high for architects managing complex routing logic.