Attribute Matching System for Organizational Team Formation
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Solution Overview
Problem
Large organizations face difficulties in determining and monitoring individual strengths and weaknesses, leading to non-uniform and faulty data, which hinders effective team formation and assignment delegation, resulting in weaker overall performance.
Innovation Solution
A computer-readable storage medium with instructions that perform a method for matching user attributes by storing general attribute descriptors, receiving personal attribute descriptors, comparing them to calculate a match score, and displaying indicators based on the score, facilitating the graphical representation of attribute proximity within an organization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a large organization uses non-centralized methods to determine individual strengths and weaknesses, then each individual can have personalized assessment, but the data becomes non-uniform and faulty due to lack of standardization
Solution Approach 1:
The system segments the organization into individual user profiles, each with their own attribute descriptors and ratings. This allows personalized assessment for each user while maintaining standardized measurement criteria through the common attribute descriptor framework.
Solution Approach 2:
The system changes the parameter of measurement by using standardized attribute descriptors and ratings for all users, transforming the assessment process from non-uniform subjective evaluations to uniform quantifiable data that can be consistently compared across the organization.
2Measurement precision
If the organization implements a centralized approach to monitor and update strengths and weaknesses, then data uniformity and accuracy improve, but the complexity of the system increases
Solution Approach 1:
The system uses universal attribute descriptors that can be applied to all users regardless of their role or department. This multi-functional framework allows the same standardized descriptors to assess diverse individual strengths and weaknesses, reducing system complexity while maintaining data accuracy.
Solution Approach 2:
The system creates simplified copies of user attributes through standardized descriptors and ratings, representing complex individual characteristics in a uniform format that is easy to store, compare, and update centrally without requiring complex processing.
3Reliability
If the organization does not have a centralized system for accessing colleague attributes, then individual privacy is maintained, but team formation and assignment delegation become less effective
Solution Approach 1:
The system introduces an intermediary centralized database that stores and manages user attribute information. This intermediary allows users to access colleague attributes for team formation and assignment purposes while maintaining privacy through controlled access, effectively bridging the gap between information availability and privacy protection.
Data Source
AI summary
Systems and methods consistent with the invention relate to matching user attributes. In one exemplary implementation, the system and methods may store predetermined general attribute descriptors reflecting attributes of users generally, receive personal attribute descriptors selected from the predetermined general attribute descriptors as corresponding to attributes of a first user and a second user, receive a rating associated with each received personal attribute descriptor, compare at least one personal attribute descriptor associated with the first user with at least one personal attribute descriptor associated with the second user to determine a descriptor match, and calculate a match score based on the determined descriptor match and the received ratings. In addition, first and second display points may be displayed and may be separated by a one-dimensional display distance that is a function of the calculated match score.