Quick question about the inconsistency between Screen Recording capture status and the reported conversation metrics in the Performance Dashboard. We are operating within the Genesys Cloud EU1 region, utilizing a complex Architect flow for our inbound sales team. The flow involves multiple skill-based routing decisions and custom data actions before the agent is connected.
The specific issue arises when reviewing the ‘Agent Performance’ view for the last sprint. The dashboard indicates a 100% recording compliance rate for all handled interactions. However, when cross-referencing with the actual screen recording repository and the ‘Conversation Detail’ view, approximately 15% of the calls show a ‘Recording Failed’ or ‘Incomplete’ status. This discrepancy is causing significant issues with our quality assurance audits, as we cannot verify agent adherence to script protocols for these specific interactions. The business impact is a potential compliance risk, as we are billing clients based on verified recorded interactions.
The environment details are as follows:
- Region: Genesys Cloud EU1
- Architect Flow Version: v2.4 (Production)
- Screen Recording Policy: ‘Always Record’ for Inbound Voice
- Agent Desktop Version: Latest Chrome Extension
It appears that the metric aggregation for ‘Recording Status’ in the Performance Dashboard is not syncing correctly with the actual media file status in the Recording Management section. This lag or error seems to occur specifically during high-volume periods between 14:00 and 16:00 CET, suggesting a potential backend processing bottleneck or a timing issue with the status update webhook.
- Verified that the Screen Recording policy is correctly applied to the relevant user groups and queues in the Admin console.
- Checked the ‘System Activity’ logs for any errors related to the recording service during the affected time window, but no explicit failures were flagged.
Is there a known delay in the metric reporting for Screen Recording status, or is this a configuration issue within the Architect flow that is preventing the final status from being pushed to the dashboard? Any insights into resolving this data integrity issue would be appreciated.
The documentation actually says screen recording metrics can drift if the Data Action handshake fails before the session state is fully committed. This usually happens when the webhook payload exceeds the default timeout for the EU1 edge.
408 Request Timeout: Data Action ‘ScreenPop_ScreenRec’ failed to respond within 3000ms.
You need to adjust the timeout settings in the ServiceNow REST API configuration within Genesys Cloud. Set the timeout field to 5000ms in the Data Action definition. Additionally, ensure the ServiceNow script include handling the screen pop event is optimized for quick response times. If the ServiceNow instance is under heavy load, consider adding a retry mechanism with exponential backoff in the Architect flow. This ensures the recording status syncs correctly with the performance dashboard. Check the integration logs for any 408 errors during peak hours. Adjusting these parameters should resolve the discrepancy.
Check your bulk export job configuration in the Recording API. The discrepancy often stems from metadata not being committed to the S3 bucket before the dashboard aggregates metrics. Ensure your legal hold tags are applied to the export job payload to maintain chain of custody integrity.
"legalHold": true
Make sure you validate the JSON structure against the strict schema requirements for the Screen Recording API, especially when running concurrent load tests. The discrepancy in metrics often stems from malformed payloads causing silent failures during the handshake phase. When pushing high-volume requests through JMeter, even minor deviations in the request body can trigger validation errors that don’t always surface as standard HTTP errors but result in dropped metrics.
Here is a corrected payload structure that has worked in our Asia/Singapore environment for consistent tracking:
{
"recordingId": "rec-123456",
"agentId": "agent-789",
"timestamp": "2023-10-27T10:00:00Z",
"metadata": {
"flowVersion": "1.0",
"skillGroup": "sales_inbound"
}
}
Ensure the timestamp is in ISO 8601 format. We saw similar drift when timestamps were local instead of UTC. Also, check if your JMeter threads are exceeding the WebSocket connection limits, which can cause partial commits. Adjusting the thread count to match the documented rate limits usually resolves the aggregation lag in the Performance Dashboard.