Contact Center Telephonic Communication Analysis System
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Solution Overview
Problem
Contact centers face challenges in identifying and analyzing the most relevant telephonic communications between customers and agents due to inconsistent and subjective monitoring methods, making it difficult to determine which interactions are most impactful for business improvement.
Innovation Solution
A method and system that analyzes telephonic communications by applying predefined rules to identify meaningful interaction outcomes, providing explanatory information, and suggesting follow-up actions, utilizing techniques such as voice data separation, linguistic and non-linguistic analysis, and psychological behavioral models to categorize and prioritize interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual monitoring methods are used to review telephonic communications, then monitoring can be performed with simple systems, but it becomes difficult to identify relevant interactions among thousands of calls
Solution Approach 1:
The patent introduces an automated analysis system that acts as an intermediary between raw telephonic communications and human reviewers. This system applies predefined rules and algorithms to filter, categorize, and prioritize calls, presenting only the most relevant interactions to human analysts. This intermediary layer dramatically improves identification efficiency while managing complexity through structured automation rather than attempting to analyze all calls manually.
Solution Approach 2:
The patent segments the large volume of telephonic communications into distinct categories based on predefined criteria such as customer satisfaction indicators, complaint types, and interaction outcomes. By dividing the communication stream into manageable segments with specific characteristics, the system enables targeted analysis and makes it feasible to identify relevant interactions without reviewing every single call in its entirety.
2Measurement precision
If automated analysis systems are implemented to identify relevant interactions, then identification accuracy improves, but the complexity of the system increases
Solution Approach 1:
The patent implements preliminary action by establishing predefined rules, criteria, and classification frameworks before the actual analysis of telephonic communications begins. These predetermined parameters for identifying relevant interactions (such as keywords, sentiment thresholds, and categorization schemes) are set in advance, allowing the automated system to accurately classify calls without requiring complex real-time decision-making algorithms, thus improving accuracy while controlling system complexity.
3Loss of information
If all telephonic communications are reviewed in detail, then complete information is gathered, but the time and resources required increase significantly
Solution Approach 1:
The patent extracts and focuses on the most critical and relevant portions of telephonic communications by applying filtering criteria that identify key interaction elements such as customer complaints, satisfaction indicators, and resolution outcomes. Rather than reviewing all communications in their entirety, the system extracts only the essential information needed for business improvement, significantly reducing the time and resources required while maintaining completeness of analysis for relevant matters.
Data Source
AI summary
The invention relates to a method and system for analyzing an electronic communication, more particularly, to analyzing telephonic communications between customers and a contact center to determine and display the most relevant communications to an organization or business.