Event Capture Application for Technical Event Reporting
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Solution Overview
Problem
Large organizations face inefficiencies in acquiring, distributing, and analyzing information related to technical events such as hardware and software malfunctions across numerous computing devices, as well as in handling ideas for improving organizational functions, due to insufficient reporting and varying technical expertise among support staff.
Innovation Solution
An event capture application operates in the background of client devices to automatically acquire and transmit system state information and user feedback, which is then intelligently analyzed and routed to appropriate technical staff for diagnosis and resolution, facilitating the capture and handling of both technical events and organizational ideas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If technical support staff manually acquire and analyze information about hardware and software malfunctions, then they can identify and resolve issues, but the process is inefficient and time-consuming due to insufficient reporting and varying technical expertise
Solution Approach 1:
The system performs preliminary actions by automatically capturing and storing system state information (logs, configuration files, registry data) before technical events occur or immediately when detected. This pre-captured information is readily available when issues arise, eliminating the time-consuming manual information gathering process and enabling faster root cause analysis.
Solution Approach 2:
An intermediary automated system acts as a mediator between technical events and support staff. This system captures, processes, and routes technical event information automatically, reducing the manual workload on support staff and improving the efficiency of information acquisition and analysis while maintaining consistent quality regardless of individual expertise levels.
2Measurement precision
If an event capture application continuously monitors system state information in the background, then information about technical events is captured more completely and quickly, but system resources are consumed and user interface capability is reduced
Solution Approach 1:
The event capture application implements periodic monitoring of system state information rather than continuous monitoring. It captures information at scheduled intervals or when specific triggers occur, ensuring complete and timely data collection while reducing unnecessary system resource consumption compared to constant monitoring.
Solution Approach 2:
The application extracts only the specific system state information relevant to technical events (logs, configuration files, registry data) rather than monitoring all system activities. This selective extraction approach maintains measurement precision for critical data while minimizing the consumption of system resources.
3Loss of information
If manual reporting of technical events is used, then user feedback can be obtained, but information is often insufficient for identifying root causes and may not be obtainable after-the-fact
Solution Approach 1:
The system performs preliminary capture of comprehensive system state information automatically before users need to report issues. This pre-captured data includes logs, configuration files, and registry information that would be difficult or impossible to obtain after-the-fact, ensuring complete information availability while requiring minimal user effort.
Solution Approach 2:
The system merges automated information capture with user feedback mechanisms. It combines objectively captured system state data with subjective user observations and descriptions, creating a comprehensive information set that is both complete and easy to obtain, eliminating the trade-off between information completeness and reporting ease.
Data Source
AI summary
Systems and methods may facilitate acquisition, distribution, and analysis of information relating to technical events associated with client electronic computing devices within an organization (e.g., malfunctions and other performance issues of hardware and/or software). Graphical user interfaces may facilitate the acquisition of system state information associated with client devices, as well as the acquisition of other user-provided contextual information relating to technical events. Additionally, the systems and methods may facilitate acquisition, distribution, and analysis of information relating to organizational ideas raised by client device users within the organization.


