Virtual Desktop UX Measurement via Dynamic Weighting
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Solution Overview
Problem
End-user experience in virtual desktop environments is challenging to measure accurately due to complex data processing layers and non-reproducible backend issues, leading to ineffective surveys that fail to capture all necessary information.
Innovation Solution
A UX measuring system that receives metrics from user touchpoints, assigns dynamically calibrated weights based on historical cumulative weighted scores compared to a predefined reference score, and calculates a cumulative weighted score to indicate user experience, enabling targeted actions to improve user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional user surveys and manual feedback methods are used to measure end-user experience, then user feedback can be collected, but the measurement accuracy is insufficient due to complex backend processes and non-reproducible issues
Solution Approach 1:
The patent introduces an intermediary system that sits between the user interface and backend processes, capturing experience metrics without requiring direct access to backend data. This intermediary layer collects data from multiple touchpoints and correlates it with backend events, enabling accurate measurement of user experience while preserving information about backend issues that would otherwise be inaccessible through traditional survey methods.
Solution Approach 2:
The system implements continuous feedback loops where user experience metrics are collected, analyzed, and used to automatically adjust measurements and identify patterns. This feedback mechanism enables the system to learn from historical data and improve measurement accuracy over time, capturing both user-reported issues and backend-correlated events that traditional static surveys miss.
2Measurement precision
If multiple data processing layers and touchpoints are monitored to capture comprehensive user experience data, then measurement completeness improves, but system complexity increases
Solution Approach 1:
The patent segments the user experience monitoring system into distinct modular components, each responsible for collecting and processing metrics from specific touchpoints or backend layers. This segmentation allows comprehensive coverage of all data processing layers while maintaining manageable complexity through clear separation of concerns, where each module can be independently configured and maintained.
Solution Approach 2:
The system employs universal data collection mechanisms that can monitor multiple touchpoints and backend processes through standardized interfaces. This multi-functionality allows a single monitoring framework to handle diverse data sources uniformly, reducing overall system complexity while maintaining comprehensive measurement capabilities across all layers of the virtualized environment.
3Ease of manufacture
If manual survey methods are used for user experience collection, then implementation simplicity is maintained, but data effectiveness and actionable insights are reduced
Solution Approach 1:
The system implements self-service capabilities where the monitoring infrastructure automatically collects, processes, and analyzes user experience data without requiring manual survey deployment. The system autonomously correlates backend events with user interactions, generating actionable insights automatically, thus maintaining implementation simplicity while dramatically improving data collection effectiveness and reducing manual intervention requirements.
Data Source
AI summary
The present disclosure discloses a method and a system for measuring a User Experience (UX) in a Virtual Desktop Environment (VDE). The method comprises receiving a metric corresponding to each of one or more parameters associated with a plurality of user touchpoints in the VDE, assigning a dynamically calibrated weight to each of the one or more parameters, and calculating, a cumulative weighted score indicative of the user experience, based on weighted scores calculated for each of the plurality of user touchpoints, wherein the weighted scores for each of the plurality of user touchpoints are calculated based on the corresponding dynamically calibrated weight and the corresponding metric. The present disclosure improves user experience in the VDE.