Performance Focus Manager for Customer Support Workflow Automation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In customer support environments, existing systems lack the ability to effectively measure the impact of shifting performance focus on resource assignment, leading to inefficiencies in communication processing and performance metric management.
Innovation Solution
A method and system that assign performance scores to human support resources across multiple categories, allowing for the optimization of communication processing by shifting focus areas, with a performance focus manager selecting resources based on performance scores and recording feedback metrics to assess the impact of these shifts within predetermined tolerances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If work is assigned to resources based on resource availability and technical training, then resources can be matched to appropriate tasks, but the system lacks the ability to measure and optimize the impact of shifting performance focus on communication processing
Solution Approach 1:
The system implements feedback mechanisms by recording feedback metrics for each communication processed by resources. These metrics capture performance data that is fed back into the system to measure the impact of shifting performance focus. The feedback loop enables continuous optimization by comparing actual performance outcomes against expected outcomes when resources are assigned based on different performance categories.
Solution Approach 2:
The system introduces an intermediary performance focus manager that sits between the resource assignment mechanism and the performance measurement system. This intermediary component translates resource assignments based on performance focus into measurable outcomes, enabling the system to capture and analyze the impact of shifting performance focus on communication processing efficiency.
2Adaptability or versatility
If resources are assigned based on multiple performance categories, then resource utilization can be optimized, but it becomes difficult to measure the specific impact of shifting focus between different performance areas
Solution Approach 1:
The system segments performance measurement into distinct categories by recording feedback metrics specific to each performance area. When resources are assigned based on a particular performance focus, the system captures metrics related to that specific category, enabling precise measurement of the impact of shifting focus between different performance areas without conflating different types of performance data.
Solution Approach 2:
The system dynamically changes measurement parameters based on the current performance focus. When the performance focus shifts from one category to another, the system adjusts which metrics are recorded and how they are weighted, enabling precise measurement of the impact of each focus shift while maintaining adaptability across multiple performance categories.
3Measurement precision
If the system tracks detailed feedback metrics for every communication, then performance impact can be measured accurately, but system complexity and data processing requirements increase
Solution Approach 1:
The system extracts only the essential feedback metrics needed to measure performance focus impact, rather than tracking all possible communication attributes. By identifying and extracting the specific metrics that directly relate to performance category outcomes, the system maintains measurement precision while reducing data volume and processing complexity.
Solution Approach 2:
The system implements partial tracking of feedback metrics by focusing on the subset of metrics that are most relevant to measuring performance focus impact. Rather than comprehensively tracking every aspect of communication processing, the system captures the essential performance indicators needed to evaluate the effect of shifting performance focus, balancing measurement accuracy with system simplicity.
Data Source
AI summary
Approaches presented herein enable measuring an impact on performance metrics of shifting a performance focus based on an assignment of communications to a resource based on a performance area in a customer support environment. Specifically, resources, each with several performance area attributes, are assigned performance scores. A performance focus manager selects a shifting performance area of focus and assigns communications to the resources based on the selected performance area. A history manager maintains a set of feedback performance metrics in a selected performance category, including a subset of metrics establishing a baseline for the category. The feedback performance metrics may be queried to determine how a shift in performance focus impacts a performance category and if the performance metrics of the category are within a tolerance.


