Reporting Application Priority Calculation for Cognitive Load Reduction
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Solution Overview
Problem
Existing reporting systems burden users with the need to manually review numerous reports to identify high-priority information, leading to cognitive overload, inefficient use of resources, and cluttered user interfaces, as they lack automated mechanisms to differentiate and prioritize reports based on metric deviations and user-defined thresholds.
Innovation Solution
A computer-implemented method and system that calculates priority values for reports using metric data and priority calculation parameters, automatically identifying high-priority reports and surfacing them in the user interface, while de-emphasizing lower-priority ones, thereby reducing user effort and resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automated priority calculation is implemented, then user cognitive burden is reduced, but system computational resources are consumed
Solution Approach 1:
The system changes parameters by calculating priority values based on metric data and priority calculation parameters, transforming raw report data into prioritized information that reduces user cognitive burden while managing computational resource consumption through automated processing
Solution Approach 2:
The reporting application automatically identifies high-priority reports and surfaces them in the user interface without requiring user intervention, allowing the system to self-manage the prioritization process and reduce reliance on user cognitive resources
2Loss of information
If all reports are displayed in the user interface, then complete information is available, but interface clutter increases
Solution Approach 1:
The system extracts high-priority reports from the complete set of reports and surfaces them prominently in the user interface, while lower-priority reports remain accessible but are not prominently displayed, thus maintaining information completeness while reducing visual clutter
Solution Approach 2:
Different parts of the interface receive different treatments: high-priority reports are prominently surfaced with enhanced visibility, while lower-priority reports are displayed in a less prominent manner, creating local quality differences that reduce overall interface clutter while preserving access to all information
3Measurement precision
If manual report review is required, then detailed analysis is possible, but time consumption increases
Solution Approach 1:
The system performs preliminary action by automatically calculating priority values and identifying high-priority reports before they are presented to users, enabling users to focus their detailed analysis on pre-identified high-priority reports rather than manually reviewing all reports, thus reducing time consumption while preserving analysis depth
Data Source
AI summary
Systems and methods for determining the priority of a set of reports available to a user. The method comprising determining, by a reporting application, a set of reports available to a user, each report including one or more metrics. The method further comprising obtaining metric data associated with each of the set of reports available to the user, accessing one or more priority calculation parameters for each report in the set of reports, calculating a priority value of each report of the set of reports based on the metric data and the priority calculation parameters for each report, and determining one or more high priority reports based on the priority value of each report of the set of reports.