Call Center Adherence Timeline Integrating Multi-Source Activity Data
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Solution Overview
Problem
Conventional call center systems fail to integrate information about application usage into adherence metrics, limiting their ability to assess agent productivity effectively across various interaction methods and media.
Innovation Solution
The system presents multiple activities associated with call center agents in visual correlation with a timeline, incorporating both scheduled and actual activities from different sources, including phone and workstation interactions, to provide a comprehensive adherence analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional call center systems track only phone usage for adherence metrics, then the system complexity remains low, but the measurement precision of agent productivity is insufficient
Solution Approach 1:
The patent combines multiple previously separate systems (phone usage tracking, application usage monitoring, interaction recording) into a single integrated adherence management system. This merging allows comprehensive productivity assessment by consolidating data from phone systems, CRM applications, and interaction recording systems into one unified interface that displays scheduled activities, actual activities, and adherence exceptions together.
Solution Approach 2:
The adherence management system is designed to handle multiple types of agent activities universally - phone calls, email interactions, messaging, and CRM application usage - all through a single system. This multi-functionality enables the system to track diverse interaction methods and media types without requiring separate specialized systems for each channel.
2Loss of information
If separate applications are used for interaction monitoring and adherence tracking, then the ease of operation for each specific function is maintained, but the loss of integrated information increases
Solution Approach 1:
The system merges the interactions application and adherence management application into a single integrated interface. This combination eliminates information loss by displaying interaction data, scheduled activities, actual activities, and adherence exceptions all in one place, allowing supervisors to access comprehensive agent productivity information without switching between separate applications.
3Measurement precision
If comprehensive multi-source activity data is collected and displayed, then the measurement precision of agent productivity improves, but the device complexity increases
Solution Approach 1:
The system segments and organizes multiple data sources (scheduled activities, actual activities, adherence exceptions) into distinct visual components within the unified interface. Each data type is presented separately but coordinated in time, allowing comprehensive productivity assessment while maintaining manageable system architecture through structured data organization.
Data Source
AI summary
Method and systems are presented for presenting multiple activities associated with one of a plurality of call center agents correlated in time. In one embodiment, the method comprises the steps of: determining at least one of the agents to be displayed; and displaying activity information in visual correlation with a timeline. The activity information includes a first plurality of activities originating from a first source and a second plurality of activities originating from a second source. Each of the activities is associated with the at least one agent.