Client Device Local Feedback Analysis for Performance Diagnosis
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Solution Overview
Problem
Conventional software applications are unable to locally analyze user feedback to diagnose and mitigate performance issues on client devices, leading to user dissatisfaction due to delayed issue resolution and reliance on internet connectivity.
Innovation Solution
A system that enables local analysis of user feedback to diagnose and mitigate performance issues by using diagnostic and relief packages on client devices, which can determine the cause of reported symptoms and automatically adjust the system state to prevent recurring issues without internet transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user feedback is transmitted to developers for analysis, then performance issues can be diagnosed, but the diagnosis is delayed and requires internet connectivity
Solution Approach 1:
The system pre-installs diagnostic packages on the client device before performance issues occur. These packages contain evaluation rules and analysis algorithms that are ready to immediately assess user feedback and system state when issues are reported, eliminating the need to wait for server-side analysis
Solution Approach 2:
The client device performs self-diagnosis by locally analyzing user feedback against pre-configured diagnostic packages. The device independently evaluates performance issues using onboard resources without requiring external server assistance, enabling immediate local resolution
2Reliability
If conventional applications transmit user feedback to developers, then performance issues can be identified, but user dissatisfaction increases due to delayed resolution
Solution Approach 1:
The system implements a closed-loop feedback mechanism where user feedback is immediately analyzed by local diagnostic packages, and relief packages are automatically executed based on the analysis results. This rapid feedback loop resolves performance issues before users experience significant dissatisfaction
Solution Approach 2:
The application automatically resolves performance issues without requiring user intervention or waiting for developer responses. The system self-diagnoses problems through user feedback and self-repairs by executing relief packages, maintaining high user satisfaction
3Measurement precision
If internet connectivity is required for feedback analysis, then centralized diagnosis can be performed, but bandwidth usage increases and connectivity dependency increases
Solution Approach 1:
The system extracts the diagnostic analysis capability from the centralized server and places it directly on the client device. By taking out the evaluation logic and embedding it in local diagnostic packages, the system eliminates the need to transmit detailed feedback data to servers, reducing bandwidth consumption
Solution Approach 2:
Diagnostic packages are pre-configured on the client device with evaluation rules and analysis algorithms. This preliminary preparation enables local analysis without requiring data transmission to external servers, eliminating bandwidth usage for feedback analysis
Data Source
AI summary
A system analyzes descriptions of performance issues that are submitted responsive to inquiries to expediently diagnose and mitigate performance issues. In implementation, inquiries associated with features of an application are exposed at client device. Then, user responses to the inquiries are provided to relief evaluators that analyze the user responses to diagnose reported performance issues. The relief evaluators include diagnostic packages that diagnose predetermined performance issues by analyzing individual user responses to particular inquiries. The relief evaluators also include relief packages that mitigate the predetermined performance issues. A relief package may mitigate the predetermined performance issue by displaying a message that informs the user how to adjust the system state to prevent the reported performance issue “symptom” from reoccurring. Additionally, or alternatively, a relief package may mitigate the performance issue by automatically adjusting the system state to prevent the reported performance issue “symptom” from reoccurring.