Application Intelligence Platform Correlating User Journeys with Performance Metrics
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Solution Overview
Problem
Conventional end user monitoring platforms fail to provide a comprehensive view of user interactions with websites and mobile applications, isolating data to specific devices and lacking the ability to connect the chain of events and cause-and-effect across disparate systems, making it difficult to maintain high service performance and user experience.
Innovation Solution
The implementation of an application intelligence platform that receives and correlates user journey information with performance metric information, storing it in a database indexed by query criteria to identify performance issues and navigation paths, enabling real-time monitoring and analysis of user performance journeys.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional end user monitoring platforms are used to monitor application performance, then monitoring of specific devices and nodes is achieved, but a complete picture of end user interaction across disparate systems is not provided
Solution Approach 1:
The patent combines user journey information from multiple disparate systems, tools, and layers into a unified monitoring platform. By merging data from various sources including web servers, mobile devices, and intermediate data structures, the system creates a comprehensive view of end user interactions that single-device monitoring cannot provide.
Solution Approach 2:
The monitoring platform is designed to universally collect and correlate data across different device types, operating systems, and application layers. It handles both web-based and mobile application monitoring through a single unified system that can process diverse data formats and correlate them across the entire user journey.
2Area of stationary object
If data is gathered from disparate systems and tools, then monitoring coverage is increased, but the ability to connect the chain of events and cause and effect is lost
Solution Approach 1:
The patent introduces intermediate data structures that act as mediators between disparate monitoring systems. These intermediate structures store and standardize user journey information in a format that enables correlation across different systems, preserving the chain of events and cause-effect relationships while maintaining broad monitoring coverage.
Solution Approach 2:
The system implements feedback mechanisms that correlate user journey information with performance metric information. By continuously feeding back correlated data about user interactions and system performance, the platform maintains awareness of cause-and-effect relationships across the entire monitoring ecosystem.
3Device complexity
If conventional monitoring platforms isolate data to particular devices and nodes, then data management is simplified, but a complete picture of user interaction is not provided
Solution Approach 1:
The patent segments user journey information into discrete, standardized data elements that can be independently collected from different devices and nodes. By segmenting the monitoring data into manageable units (user journeys, performance metrics, intermediate data structures), the system maintains simplified data management while preserving complete user interaction context through systematic reassembly of these segments.
Data Source
AI summary
In one embodiment, a method for user performance journey monitoring is disclosed. The method illustratively comprises receiving, by a process, user journey information associated with an application and a plurality of application end users, the user journey information indicative of navigation paths of the application end users among a plurality of nodes configured to perform at least a part of the application; receiving, by the process, performance metric information indicative of performance of the plurality of nodes configured to perform at least the part of the application; correlating, by the process, the user journey information with the performance metric information based on one or more query criteria; and storing, by the process, the correlated user journey information and performance metric information in an application end user journey database indexed by the one or more query criteria.