Contextual Event Dashboard for Real-Time Interaction Oversight
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Solution Overview
Problem
Conventional methods for assessing interactions in contact centers are manual, limited to singular issues, and lack real-time visualization and proactive alerting for supervisors.
Innovation Solution
A system that provides real-time visualization of multiple interactions through a single browser page, enabling supervisors to score, classify, and intervene in interactions, with features like proactive alerts and AI-driven summaries, and allows for filtering, sorting, and marking interactions for later review.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual walk the floor approaches are used to assess interactions, then supervisors can directly observe employee performance, but the approach is time-consuming and cannot provide real-time insights into multiple interactions simultaneously
Solution Approach 1:
The system creates visual copies of multiple interaction interfaces through a single consolidated dashboard, allowing supervisors to view numerous interactions simultaneously without physically visiting each employee station. The dashboard generates replicated interaction views that can be scanned and analyzed in one location, eliminating the time loss of manual floor walking while maintaining assessment accuracy.
Solution Approach 2:
The system merges multiple separate interaction monitoring functions into a single unified dashboard interface. By combining numerous interaction views, scoring indicators, and alert mechanisms into one consolidated display, the system enables supervisors to monitor multiple interactions simultaneously without the time consumption of individual assessment visits.
2Adaptability or versatility
If panic button or raise hand approaches are implemented, then specific singular issues can be addressed, but the approach cannot provide comprehensive real-time visualization of multiple interactions or proactive alerting
Solution Approach 1:
The system introduces an intermediary automated monitoring layer that continuously observes all interactions and generates contextual alerts before problems escalate. This intermediary mechanism provides comprehensive real-time visibility into interaction contexts while maintaining the flexibility to respond to specific issues, bridging the gap between passive raise-hand approaches and active comprehensive monitoring.
Solution Approach 2:
The system performs preliminary analysis of interactions using scoring logic and contextual indicators to identify potential problems before they require employee initiation. By proactively detecting and alerting supervisors to developing issues through automated monitoring and scoring, the system prevents information loss while maintaining response flexibility.
3Measurement precision
If supervisors review multiple interactions individually, then detailed assessment of each interaction is possible, but the approach cannot provide real-time comprehensive oversight of 100+ interactions from a single page
Solution Approach 1:
The system segments the monitoring task by displaying numerous interactions as organized cards or panels on a single dashboard page, each containing condensed scoring indicators and key metrics. This segmentation allows supervisors to efficiently scan multiple interactions while maintaining the ability to drill down into detailed assessments of specific interactions that require closer evaluation.
Solution Approach 2:
The system displays partial information (scoring indicators, key metrics, visual icons) for all 100+ interactions simultaneously on the dashboard, enabling rapid overview. When detailed assessment is needed, supervisors can perform excessive action by drilling down into specific interaction transcripts and full details, achieving both comprehensive monitoring efficiency and detailed assessment accuracy.
Data Source
AI summary
Embodiments of the present disclosure facilitate viewing and monitoring a plurality of real-time interactions simultaneously. In some embodiments, interactions are combined into multiple real-time event streams. An example system may present, in a user interface, event notifications and labels, wherein the event notifications and labels are used to monitor or intervene in interactions between the entities.