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System to Dynamically Create Employee Groups

IP.com Disclosure Number: IPCOM000248764D
Publication Date: 2017-Jan-06
Document File: 2 page(s) / 33K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed are a method and system for optimizing the assignment of individuals to teams within a business by analyzing the dynamics of an individual’s business profile. The system identifies qualitative metrics within correspondences from individual profiles, and then pairs these with other profiles to form optimal teams based on business need.

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System to Dynamically Create Employee Groups

In the spirit of collaboration, businesses are continually trying to increase the efficiency of corporate teams. One approach is to group individuals with complementing strengths and weaknesses. Having the right combination of people and traits within a team is crucial to optimizing performance. Current methods businesses utilize to form these optimal teams include personality tests, internal metrics, decision analysis, team building events, and management's instinct.

An automated method or system is needed to help organizations efficiently design and develop the optimal teams for the highest productivity.

The novel contribution is a method and system for optimizing the assignment of individuals to teams within a business by analyzing the dynamics of an individual’s business profile. To form and optimize teams, the system analyzes the sentiment profile of an individual based on historical correspondences.

The system identifies qualitative metrics within correspondences from individual profiles, and then pairs these with other profiles to form optimal teams based on business need. The qualitative metrics include but are not limited to sentiment, skill level, ongoing business evaluations, sentiment of peers, etc.

The steps for implementing the method and system follow: 1. Business selects business need guidelines (e.g., number of teammates, budget,

timeline, legal parameters, etc.) 2. Using historical correspondence, the system develops a sentiment profile for

each employee being considered for a project management team. This profile is made up of personality traits, management skills, responsiveness tendencies, tone, etc.

3. The system uses these sentiment profiles to group individuals with complimenting characteristics into optimal teams based on business need

4. The system continually updates these profiles based on interaction and correspondence amongst the employees. The system remains dynamic and updates in real time based on projects, teams, and sentiment profi...