Master Performance Indicator Aggregation
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Solution Overview
Problem
Organizations face difficulties in measuring overall performance due to the varied and inconsistent nature of performance measurements, making it challenging to compare historical performance effectively.
Innovation Solution
A Master Performance Indicator (MPI) system that statistically analyzes past performance to provide a single number score for current performance, aggregating individual scores from various elements like quality and availability, and applies thresholds with time or event-based adjustments to trigger alerts for underperformance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple varied performance measurements are used to evaluate organizational performance, then the measurement comprehensiveness is improved, but the measurement consistency and comparability deteriorate
Solution Approach 1:
The patent combines multiple varied performance measurements into a single unified Master Performance Indicator (MPI) score. This aggregation process merges diverse metrics (quality, availability, schedule, requirements, etc.) into one consistent numerical value that maintains comparability across time while preserving comprehensive performance evaluation.
Solution Approach 2:
The MPI serves as a universal performance measurement tool that can evaluate multiple aspects of organizational performance through a single indicator. This multi-functional approach allows the same measurement framework to assess different performance dimensions consistently, enabling both comprehensive evaluation and historical comparison simultaneously.
2Loss of information
If detailed individual element scores are tracked, then the performance analysis depth is improved, but the overall performance assessment complexity increases
Solution Approach 1:
The patent segments performance measurement into two levels: individual element scores (quality, availability, schedule, requirements, etc.) and an aggregated overall MPI score. This segmentation allows detailed performance information to be preserved at the element level while providing a simplified summary at the aggregate level, reducing assessment complexity without losing information.
Solution Approach 2:
The patent transforms multi-dimensional performance data (multiple individual metrics) into a single-dimensional aggregated score. This dimensional transformation maintains the detailed information through the underlying element scores while presenting a simplified single-number overview for high-level performance assessment.
Data Source
AI summary
A performance indicator score can be determined for a software development process. A set of elements representing performance attributes of a software development process, such as quality and availability, can be determined. Scores for each element of the set of elements can be computed and aggregated into a single overall score. Further, an adjustment can be determined and applied to scores based on time or an expected event. The overall score can then be conveyed for display on a display device. Some thresholds can also be employed to evaluate the scores, including the overall score, and alerts can be triggered based on the thresholds.