Automated Chat Testing System for Contact Centers
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Solution Overview
Problem
Current testing methods for chat-based systems in contact centers are inadequate, as they often require human interaction, leading to increased costs and potential human error, and are not scalable to accommodate various endpoints and infrastructure implementations without impacting customer interactions.
Innovation Solution
A system for automated chat testing comprising a test case management platform, chat cruncher, contact center manager, chat classifier, and desktop automation engine, which allows for scalable testing of chat-based systems without relying on specific software or endpoints, enabling simultaneous testing with production environments without affecting customer experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automated testing is implemented, then testing cost and human error are reduced, but testing scalability and adaptability to various endpoints become more challenging
Solution Approach 1:
The testing system employs a universal chat interface simulator that can interact with multiple endpoint types (web-based chat, mobile chat, desktop chat) through a standardized testing framework. The system uses configurable test case managers and virtual agents that can adapt their interaction protocols to match different endpoint implementations, enabling single automated system to test diverse chat infrastructure without requiring endpoint-specific testing tools
2Productivity
If testing is performed simultaneously with production operations, then testing speed and productivity increase, but reliability of production customer interactions may be impacted
Solution Approach 1:
The system introduces a virtual agent layer that acts as an intermediary between test cases and production chat infrastructure. Virtual agents simulate customer interactions by generating and parsing chat messages, routing them through the contact center infrastructure, and capturing responses without directly impacting real customer conversations. This intermediary layer enables parallel testing of chat workflows, message routing, and system responses while maintaining production environment stability and customer interaction quality
3Ease of operation
If human interaction is used for testing, then ease of operation and flexibility improve, but testing cost and time consumption increase
Solution Approach 1:
The testing framework implements self-service automation where test cases are configured once and automatically execute against the chat infrastructure without requiring continuous human intervention. The system includes automated virtual agents that independently conduct chat simulations, parse responses, validate system behavior, and generate test results. This self-service capability maintains operational flexibility through configurable test scenarios while eliminating repetitive manual testing tasks and significantly reducing overall testing time
Data Source
AI summary
A system for flexible and scalable automated chat-based contact center testing, comprising a test case management platform, “chat cruncher”, contact center manager, chat classifier, and desktop automation engine, and method for using such a system for automated testing of a contact center's chat-based interactions environment and reporting of test results.