What is the standard approach to interpret the discrepancy between the ‘Average Wait Time’ metric and the ‘Occupancy’ metric for digital channels in the Performance dashboard?
Our organization is running Genesys Cloud v2023-10. We have configured a standard digital queue with a maximum wait time of 60 seconds. In the Architect flow, we are using a ‘Wait for Agent’ block with a timeout set to 60 seconds.
The issue arises when analyzing the Performance dashboard reports. The ‘Average Wait Time’ for digital interactions consistently shows a value near zero, often less than 1 second. However, the ‘Occupancy’ metric for the same queue shows agents are at 85% capacity during peak hours (09:00-11:00 CET).
If agents are heavily occupied, one would expect a higher wait time. Yet, the dashboard indicates near-instantaneous connection. Is the ‘Wait Time’ metric excluding the time the customer spends in the ‘Queue’ block before being matched with an agent? Or is there a specific configuration in the Performance view that filters out digital wait times differently than voice channels?
We need to understand if the current dashboard settings are accurately reflecting the customer experience or if the metric definition for digital channels differs from voice. Any clarification on the calculation logic for digital occupancy versus wait time would be appreciated.