Proxy Selection Scoring for Talent Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In talent management environments, there is a challenge in identifying and selecting an appropriate proxy who possesses the right skills, bandwidth, knowledge, and education to represent individuals or organizations effectively, especially considering constraints like time, space, and logistics.
Innovation Solution
A system and method that analyzes user activities and criticality to derive a content-relevant score for potential proxies, selecting the highest-scoring individual to serve as a proxy by considering factors like familiarity, communication methods, and frequency of interaction, and managing logistics for timely and effective representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual proxy selection is used, then flexibility in choosing proxies is maintained, but time consumption and operational complexity increase
Solution Approach 1:
The system enables self-service proxy selection by automatically analyzing user activities, determining criticality levels, and selecting appropriate proxies based on predefined criteria and scoring models, eliminating the need for manual intervention while maintaining systematic decision-making
Solution Approach 2:
The patent replaces manual mechanical selection processes with an automated computational system that uses algorithms to analyze data, score potential proxies, and make selections, thereby increasing speed while managing complexity through structured computation
2Measurement precision
If comprehensive proxy evaluation criteria are applied, then proxy selection accuracy is improved, but processing time increases
Solution Approach 1:
The evaluation process is segmented into distinct phases: activity analysis, criticality determination, proxy candidate identification, scoring based on multiple criteria, and final selection. This segmentation allows systematic evaluation of comprehensive criteria while managing processing time through structured progression
Solution Approach 2:
The system performs preliminary actions by pre-establishing scoring models, criteria weights, and proxy candidate pools before actual selection events occur. This preparation enables rapid evaluation during critical moments without needing to compute everything from scratch
3Speed
If real-time proxy selection is implemented, then responsiveness to user needs is improved, but system resource consumption increases
Solution Approach 1:
The system applies partial action by selectively evaluating only the necessary criteria and proxies relevant to each specific situation, rather than comprehensively assessing all possible options. This enables real-time responses while reducing computational resource consumption through targeted analysis
Data Source
AI summary
In an approach for selecting an individual or a group of individuals to serve as proxy for a user at a proper time and place, a processor analyzes an activity of a user and a criticality of completing the activity. Responsive to determining a proxy should represent the user in completing the activity, a processor derives a content-relevant score for each potential proxy of a plurality of potential proxies associated with the user using a scoring model. A processor selects a potential proxy with the highest content-relevant score to serve as proxy for the user while completing the activity. A processor outputs an alert notification to the potential proxy selected, wherein the alert notification contains a set of critical data to enable the potential proxy to complete the activity.