Automated Interaction Evaluation Using Signal Combination Operators
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Solution Overview
Problem
Conventional quality assurance processes for call center agents are manual, laborious, and subjective, making them time-consuming and prone to inconsistencies.
Innovation Solution
An automated system that detects and combines signals from recorded interactions using predefined operators, allowing for the programmatic evaluation of event criteria to assess agent performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual quality assurance review is performed, then evaluation can be conducted with simple tools, but the process becomes time-consuming and laborious
Solution Approach 1:
The patent replaces the manual mechanical review process with an automated computer-based system that uses speech-to-text conversion, keyword detection, and signal processing to evaluate recorded interactions, thereby eliminating the time-consuming manual review while maintaining evaluation capability
Solution Approach 2:
The system enables automated self-evaluation of recorded interactions by automatically detecting signals, combining them according to predefined operators, and generating quality assurance assessments without requiring human reviewers to manually analyze each recording
2Ease of manufacture
If manual quality assurance review is performed, then evaluation can be conducted with basic forms, but the process becomes subjective and inconsistent
Solution Approach 1:
The patent replaces subjective human judgment with an automated computer-based evaluation system that applies predefined operators and algorithms consistently to all recorded interactions, eliminating reviewer bias and ensuring reliable, consistent assessments across different evaluations
Solution Approach 2:
The system provides automated feedback through structured evaluation forms with categorical answers, allowing for consistent measurement and comparison of agent performance across multiple interactions while maintaining objectivity through algorithmic signal combination
3Productivity
If automated signal detection is implemented, then evaluation efficiency is improved, but system complexity increases
Solution Approach 1:
The patent segments the complex evaluation process into distinct automated components: speech-to-text conversion, individual signal detection, signal combination using predefined operators, and criterion evaluation. This modular segmentation manages system complexity by breaking down the automated evaluation into manageable, independent modules that can be processed sequentially
Data Source
AI summary
Automatic evaluation of recorded interactions is disclosed, including: detecting a plurality of signals in an interaction; combining at least a subset of the plurality of signals using a prescribed set of operators into a combined signal; and determining whether an event criterion has been met with respect to the interaction based at least in part on the combined signal.


