Silence Density Models for Contact Center Performance

The patent applies local quality by creating different silence threshold criteria for different call contexts. Instead of using a uniform silence measurement standard, the system establishes context-specific thresholds that account for the nature of the call, the agent's actions, and expected customer behaviors. This allows necessary silences (like when customers perform modem resets) to be distinguished from problematic silences, thereby improving measurement precision without compromising evaluation fairness.

The system performs preliminary action by proactively identifying and flagging necessary periods of non-communication before they are penalized in performance evaluations. The patent implements this by monitoring calls in real-time, detecting when agents prompt customers to perform actions that require phone placement, and pre-marking these silence periods as acceptable. This preliminary identification prevents unfair penalties from being applied to necessary silences.

The patent applies dynamics by making the silence measurement system adaptive rather than static. The system dynamically adjusts silence thresholds and evaluation criteria based on call context, agent actions, and customer behavior patterns. This allows the measurement system to remain relatively simple in structure while gaining the versatility to differentiate between necessary and unnecessary silences through context-aware dynamic threshold adjustment.

The system implements feedback by using detected call patterns and outcomes to continuously refine silence measurement criteria. The patent incorporates feedback loops where flagged silence periods are analyzed, and the system learns from these patterns to improve future silence detection accuracy. This feedback mechanism enables the system to become more adaptable to different call types and scenarios while maintaining operational simplicity.