Matching tools for use in attribute-based performance systems

Abstract

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.

Description

TECHNICAL FIELD[0001]The present invention relates to attribute-based performance systems and, more particularly, to matching tools for use in attribute-based systems.BACKGROUND [0002]Each person is unique and thus has a unique combination of strengths and weaknesses. Individuals and teams playing to their strengths significantly outperform those who do not. Thus, it is important for each individual to know their strengths and weaknesses, as well as the strengths and weaknesses of the individuals they work with in an organization. Organizations playing to their members strengths and avoiding their weaknesses can thus excel in areas such as profitability, productivity, and employee retention. Organizations may thus benefit by engaging each person's strengths and doing so at a scale across the organization.[0003]If the organization is large, however, it can be difficult to determine each individual's strengths and weaknesses, and to also monitor and update those strengths and weakness...

AI Technical Summary

Problems solved by technology

If the organization is large, however, it can be difficult to determine each individual's strengths and weaknesses, and to also monitor and update those strengths and weaknesses over time.

Furthermore, an organization's large size invariably results in non-standard methodologies for determining strengths and weaknesses, leading to non-uniform and / or faulty data.

The lack of a centralized approach also prevents individuals within the organization from having access to and understanding of the strengths and weaknesses of their colleagues when forming new teams or delegating assignments, resulting in an overall weaker organization.

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