Issue Severity Scoring Dashboard for Resource Allocation
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Solution Overview
Problem
Organizations face challenges in managing open issues in distributed systems, particularly in allocating resources effectively to resolve issues in a timely manner due to the complexity and volume of data, leading to potential consequences such as fines or regulatory actions.
Innovation Solution
A dashboard-based system that utilizes a scoring system to communicate the severity levels of open issues, allowing users to make informed resource allocation decisions by prioritizing issues based on historical relationships and predictive power analysis, thereby reducing the cognitive burden and enhancing resource allocation efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis of open issue information is performed, then users can understand the data, but the process becomes intractable due to the volume and complexity of information
Solution Approach 1:
The patent introduces an automated scoring system as an intermediary between raw open issue data and user decision-making. This scoring system processes the complex volume of issue information automatically, generating severity scores that users can easily interpret. The intermediary handles the intractable information processing while preserving measurement precision through systematic evaluation criteria.
Solution Approach 2:
The patent replaces manual mechanical analysis of open issue information with an automated computational scoring system. Instead of users manually reviewing and assessing issue data, the system automatically calculates severity scores based on multiple factors, eliminating the intractability of manual processing while maintaining or improving assessment accuracy.
2Reliability
If resources are allocated to all open issues, then comprehensive coverage is achieved, but resource efficiency decreases due to limited resources
Solution Approach 1:
The patent applies local quality by allocating resources differently based on the specific characteristics of each open issue. Instead of uniform resource distribution, the system generates severity scores that identify which issues require more intensive resource allocation. This allows comprehensive coverage of all issues while concentrating resources on the most critical ones, improving both reliability and productivity.
Solution Approach 2:
The patent changes the parameter of resource allocation from equal distribution to differentiated allocation based on severity scores. By introducing severity as a varying parameter, the system optimizes resource distribution to match actual issue priorities, achieving comprehensive coverage without wasting resources on low-priority issues.
3Measurement precision
If users review all monitored information to estimate severity levels, then accurate assessments are obtained, but cognitive burden increases significantly
Solution Approach 1:
The patent extracts the cognitively burdensome task of severity estimation from users and transfers it to an automated scoring system. The system extracts relevant information from monitored data and automatically computes severity scores, leaving users with only the final scores to interpret. This maintains measurement precision while dramatically reducing cognitive burden.
Solution Approach 2:
The patent implements self-service by enabling the system to automatically assess and score open issues without requiring user intervention for the actual evaluation. The scoring system serves itself by automatically processing information and generating severity assessments, freeing users from the cognitively demanding task of manual evaluation.
Data Source
AI summary
Systems, apparatuses, methods, and computer program products are disclosed for managing open issues. An example method includes obtaining a dashboard access request for a portion of open issues managed by the issue management system, the issue management system storing variables associated with each open issue of the open issues; obtaining a dashboard data package based on scores for the portion of open issues, the scores indicating a severity level of the open issues of the portion of open issues and being based on the variables that are stored in the issue management system; and performing an action set using the dashboard data package to manage the portion of open issues.