Real-Time Speech Analytics for Contact Center Compliance Monitoring
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Solution Overview
Problem
Contact centers face challenges in providing real-time feedback to agents regarding compliance with regulations and policies during telephone calls, as existing methods often involve delayed reviews and lack effective mechanisms for visual and aural analysis of speech events, leading to potential non-compliance and inefficient performance improvement.
Innovation Solution
A system and method for presenting real-time speech analytics information visually and aurally, allowing supervisors and agents to review keyword detections during calls, with features like alert icons, checkpoint widgets, and audio playback, enabling immediate feedback and compliance assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time speech analytics are implemented to monitor agent compliance, then compliance monitoring effectiveness is improved, but system complexity increases
Solution Approach 1:
The speech analytics system is segmented into multiple functional modules including speech event detection, topic meta-data generation, visual display components, and aural review components. Each module handles specific aspects of compliance monitoring independently, reducing overall system complexity while maintaining comprehensive monitoring capability.
Solution Approach 2:
Topic meta-data records serve as an intermediary layer between the speech analytics engine and the review interface. These records structure and organize speech event information, making complex speech data accessible and manageable for both visual and aural review without requiring direct complex processing at the display layer.
2Measurement precision
If comprehensive call reviews are conducted to ensure agent compliance, then compliance accuracy is improved, but time consumption increases
Solution Approach 1:
Topic meta-data records are generated and structured during or immediately after the call, organizing speech events and compliance information in advance. This preliminary organization enables rapid review and accurate compliance assessment without requiring time-consuming manual analysis of entire call recordings.
Solution Approach 2:
The system focuses review efforts on specific speech events and topics identified as relevant to compliance, rather than reviewing entire call recordings. This partial action approach maintains high compliance accuracy by targeting critical moments while significantly reducing overall review time.
3Measurement precision
If delayed review of agent performance is used, then review thoroughness is improved, but feedback effectiveness deteriorates
Solution Approach 1:
Topic meta-data and speech event information are prepared and organized in advance, enabling both thorough review and timely feedback. The preliminary structuring of compliance data allows supervisors to conduct comprehensive assessments without delaying feedback delivery to agents.
4Measurement precision
If visual and aural review methods are both implemented, then review comprehensiveness is improved, but system complexity increases
Solution Approach 1:
The topic meta-data record structure serves multiple functions simultaneously: it organizes data for visual display, structures information for aural playback, and maintains compliance tracking. This universal data structure enables both review methods without requiring separate complex systems for each approach.
Data Source
AI summary
A real-time speech analytics system (“RSTA system”) detects speech during a call involving a contact center agent and a remote party. Upon detecting the speech, an event message is generated by the RTSA system and transmitted to a module, which is configured to generate a topic meta-data record stored in a topic meta-data file. A real-time topic dashboard indication may be presented on a graphical user interface to a user based on analysis of a plurality of topic meta-data records. Selection of the topic dashboard indicator may result in presentation to the user of further text-based information about detection of the speech event for one or more calls. Selection of the further information for a particular call may result in a corresponding portion of recorded audio of that call associated with the speech event to be retrieved using the corresponding topic meta-data record and played to the user.