Virtual Agent View for Contact Center Performance Monitoring
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Solution Overview
Problem
Contact centers face challenges in monitoring and optimizing efficiency due to the lack of real-time, context-sensitive information on agent distribution and performance, leading to suboptimal resource allocation and customer satisfaction issues.
Innovation Solution
A system and method that provide a virtual view of agents by monitoring key performance indicators, detecting breaches in threshold values, calculating agent ranks based on predefined rules, and displaying a ranked virtual view, allowing managers to intuitively navigate and address performance issues in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional contact center systems use basic skill level matching for contact distribution, then service coverage is maintained, but service quality and customer satisfaction deteriorate when gold rated agents are unavailable
Solution Approach 1:
The system dynamically changes the skill level parameter for contact distribution based on agent availability. When gold rated agents are unavailable, the system temporarily adjusts the skill level requirement from 'gold' to 'silver' or 'basic', allowing contacts to be routed to available agents while maintaining optimal service quality whenever possible
Solution Approach 2:
The contact distribution system transitions from static skill-level-based routing to dynamic routing that considers real-time agent availability, performance metrics, and contact priority. The system continuously adapts its distribution logic based on current contact center state, enabling flexible resource allocation
2Reliability
If contact centers increase the number of agents to maintain service levels during peak times, then service coverage improves, but operational cost increases
Solution Approach 1:
The system applies different quality levels of agent service to different contact types and priority levels. High-priority contacts are routed to gold rated agents when available, while lower-priority contacts can be handled by silver or basic rated agents, optimizing the utilization of each agent's specific skill level
Solution Approach 2:
Agents with higher skill levels (gold rated) can handle both complex high-priority contacts and routine low-priority contacts, while agents with lower skill levels handle routine contacts. This multi-functionality allows the system to maintain service levels with fewer total agents by maximizing the utilization of high-skilled agents across different contact types
3Ease of operation
If managers manually monitor agent performance and allocate resources in real-time, then responsiveness to performance issues improves, but time consumption and operational complexity increase
Solution Approach 1:
The system automatically monitors agent performance metrics, detects breaches of service level agreements, and triggers appropriate actions without requiring continuous manual intervention. The system self-adjusts contact distribution based on real-time agent performance data, freeing managers from routine monitoring tasks
Solution Approach 2:
The system implements continuous feedback loops that monitor agent performance, compare it against targets, and automatically adjust resource allocation. Real-time feedback on agent metrics enables the system to respond dynamically to performance variations without manual intervention
4Loss of information
If contact centers implement comprehensive real-time monitoring of all agent metrics, then performance visibility improves, but system complexity and data processing requirements increase
Solution Approach 1:
The system extracts and focuses on monitoring only the most critical performance metrics and KPIs that directly impact service level agreements and contact center objectives. By filtering out non-essential data, the system maintains comprehensive visibility into what matters most while avoiding the complexity of tracking every possible metric
Data Source
AI summary
A system for driving a virtual view of agents of a contact center is provided. The system includes a monitoring module for monitoring and detecting a breach in threshold associated with at least one key performance indicator of at least one agent from a plurality of agents. The system further includes a ranking module for calculating a rank of at least one agent among the plurality of agents based on predefined rules. The system further includes a driving module for driving a display of the virtual view of the plurality of agents based on the calculated rank of the at least one agent.