David A Bean

US Patent:

20180349829, Dec 6, 2018

Filed:

Jun 1, 2017

Appl. No.:

15/611097

Inventors:

Vaughn Peterson - Provo UT, US
Jacob Christensen - Syracuse UT, US
David Bean - West Bountiful UT, US
Hunter Sebresos - Lehi UT, US
Jon Moody - Highland UT, US
Lloyd Weffer - Provo UT, US
Trevor Peterson - West Jordan UT, US
Thomas Rich - Mesquite NV, US
Joe Fox - Spanish Fork UT, US
Kevin Judd - Provo UT, US

International Classification:

G06Q 10/06
G06Q 10/10

Abstract:

A method of optimizing employee work assignments comprises obtaining first and second key performance indicators (KPIs), performing a difference analysis on the first and second KPIs, correlating workplace productivity to the differences of the first and second KPIs, and optimizing employee work assignments based on productivity needs of the business. First KPIs may be for each employee of a plurality of employees. The second KPIs may be of one or more employee work groups associated with the plurality of employees. The analysis may be of difference correlations between the first KPIs and the second KPIs to determine synergistic relationships between specific employee groupings of the plurality of employees. The optimization of the employee work assignments may be an assignment given to each employee of the plurality of employees to optimized employee groupings based on the difference correlations of the first KPIs and the second KPIs.

US Patent:

20180330302, Nov 15, 2018

Filed:

May 12, 2017

Appl. No.:

15/593930

Inventors:

Vaughn Peterson - Provo UT, US
Jacob Christensen - Syracuse UT, US
David Bean - West Bountiful UT, US
Hunter Sebresos - Lehi UT, US
Jon Moody - Highland UT, US
Lloyd Weffer - Provo UT, US
Trevor Peterson - West Jordan UT, US
Thomas Rich - Mesquite NV, US
Robert Wesson - Riverton UT, US
Joe Fox - Spanish Fork UT, US

International Classification:

G06Q 10/06
G06N 3/08
G10L 25/66
G06K 9/00

Abstract:

A novel method for managing employees using one or more processors including non-transitory memory programmed to assign job duties to the one or more employees being managed based on correlations between individual employee historical records, out-of-range deviations of non-invasive biometric indicators, indicators of production, and performance trends of the employee(s) being managed. Biometric data is collected and correlated to determine deviations from an established baseline in order to readily identify and assign optimized job duties to an employee or an employee workforce. Poor job related performance by a single employee or plurality of employees may be detected and corrected.