Interactive System User Behavior Analysis via State Machine Monitoring
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Solution Overview
Problem
Interactive systems such as IVR, web applications, and CRM systems face inefficiencies due to lack of effective methods to evaluate and improve user interface design, leading to high customer frustration and increased costs from unnecessary human intervention.
Innovation Solution
A system and method for monitoring and analyzing user behavior across various interactive systems, using state machines to model user interactions, logging user events, and generating reports with recommendations for improving system structure and functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If IVR systems are designed to handle complex customer service tasks, then cost savings increase, but customer satisfaction decreases due to system difficulty and errors
Solution Approach 1:
The patent implements continuous monitoring of user behavior within the IVR system, collecting data on user actions, decisions, and interactions. This feedback loop enables the system to analyze how customers actually use the IVR and identify pain points, allowing for iterative improvements that balance automation capabilities with user experience, thereby maintaining cost savings while improving customer satisfaction
Solution Approach 2:
The system dynamically adapts the IVR configuration based on analyzed user behavior patterns. By making the IVR system flexible and adjustable rather than static, it can optimize task complexity and interface design to match actual user needs and capabilities, resolving the contradiction between handling complex tasks and maintaining ease of operation
2Adaptability or versatility
If IVR systems provide more functionality and options, then task completion capability improves, but system complexity increases leading to design errors
Solution Approach 1:
By continuously monitoring and analyzing user behavior, the system identifies which functionalities are actually used and which cause confusion or errors. This feedback enables selective simplification of rarely-used or problematic features while preserving essential functionality, thus maintaining task completion capability while reducing unnecessary complexity
Solution Approach 2:
The patent extracts and analyzes specific user behavior patterns to identify which system features contribute most to successful task completion versus those that create complexity. This allows the system to focus on optimizing critical pathways while removing or simplifying non-essential or problematic features
3Ease of manufacture
If companies use predictors and indicators of behavior to design IVR tasks, then system design improves, but actual user needs remain poorly understood
Solution Approach 1:
The patent implements direct observation and analysis of actual user behavior within the IVR system, replacing reliance on predictive models and indirect indicators. By capturing real user actions, decisions, and interactions, the system gains accurate information about actual user needs and behaviors, enabling design improvements based on empirical evidence rather than assumptions
Data Source
AI summary
A system and method for monitoring and analyzing user activity of an interactive system, providing insight and recommendations to improve the interactive system based on the user activity. The present invention analyzes user behavior in the context of the structure of the interactive system as experienced by the user, the analysis of business-critical user tasks, the automated generation of recommendations for improving the interactive system, reports on the interactive system's application logic and data, unique visualizations of user behavior through the use of graphical displays, and secure report viewing and creation. The present invention can be applied to number of interactive systems or a combination thereof.