Unified User Experience Score for Virtual Desktops
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Solution Overview
Problem
Conventional end-user experience metrics for virtual or hosted desktops and web-based applications are limited to specific segments of the session life cycle, failing to provide a holistic quantification of user experience, requiring manual expertise and analysis to determine overall user experience.
Innovation Solution
A User Experience Score is calculated, considering various factors and variables in the session life cycle, using a semi-supervised model that incorporates end-user feedback, to provide a unified index and highlight areas for performance improvement, with a factor breakdown for administrators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional end-user experience metrics are used for virtual desktops and web-based applications, then specific segments of the session life cycle can be monitored, but holistic quantification of user experience cannot be achieved
Solution Approach 1:
The patent combines multiple individual experience metrics (logon duration, round trip time, session latency, reconnection rate, and user feedback scores) into a single unified User Experience Score. This aggregation allows holistic quantification of user experience across the entire session life cycle while simplifying the complexity of analyzing multiple separate metrics.
Solution Approach 2:
The patent introduces a weighted scoring model as an intermediary mechanism that transforms various experience metrics into a unified User Experience Score. This mediator incorporates both objective technical metrics and subjective user feedback, providing a comprehensive measurement that bridges the gap between system performance and actual user experience.
2Measurement precision
If manual analysis of various metrics and infrastructure health is performed to determine overall user experience, then comprehensive assessment can be obtained, but substantial expertise and time are required
Solution Approach 1:
The system enables automated calculation of the User Experience Score by continuously collecting experience metrics and user feedback, then automatically applying the weighted scoring model. This self-service approach eliminates the need for manual analysis by administrators, reducing both the time required and the expertise needed while maintaining comprehensive assessment accuracy.
Solution Approach 2:
The patent incorporates real-time user feedback into the User Experience Score calculation, creating a continuous feedback loop that automatically updates the overall user experience assessment. This feedback mechanism allows the system to adapt to changing user experiences without requiring manual intervention or extensive administrative expertise.
3Measurement precision
If multiple experience metrics are collected and analyzed manually, then detailed understanding of various metrics can be achieved, but expertise with products, infrastructure, network, and metrics is required
Solution Approach 1:
The weighted scoring model serves as an intermediary that handles the complexity of metric analysis internally. Administrators interact with the simplified User Experience Score and factor breakdown without needing to understand the underlying complex metrics and their interrelationships, thus maintaining measurement precision while improving ease of operation.
Solution Approach 2:
The patent segments the User Experience Score into contributing factors that can be individually analyzed if needed, providing administrators with both a simplified overall view and detailed breakdowns. This segmentation allows users to drill down into specific areas of concern without requiring comprehensive expertise in all metrics.
Data Source
AI summary
Described embodiments provide systems and methods for measuring user experience with virtual or hosted desktops or applications, with scores calculated based on weights determined during a supervisory learning process. The scores are multivariate across a number of factors that affect user experience, enabling administrators to easily and efficiently identify trends and degradations or improvements to a system. This allows the administrator to take mitigating actions, fully implement temporary adjustments, or perform other such functions to improve the working of the system based on the real-time measurement and analysis of user experience.