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System for optimizing employee leadership training program enrollment selection
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- Publication Date:July 24, 2018
- معلومة اضافية
- Patent Number: 10032,385
- Appl. No: 14/670696
- Application Filed: March 27, 2015
- نبذة مختصرة : According to some embodiments, information may be retrieved from an employee database that stores, for each of a plurality of employees, a current leadership value and a business unit association. Information about an employee leadership training event may be determined (including a number of slots associated with a first business unit and a number of slots associated with a second business unit), and, based on the information about the employee leadership training event and information in the employee database, including the current leadership values and business unit associations, a subset of the employees may be automatically selected to participate in the employee leadership training event. An indication of the automatically selected subset of employees may then be transmitted to at least one remote device.
- Inventors: Hartford Fire Insurance Company (Hartford, CT, US)
- Assignees: HARTFORD FIRE INSURANCE COMPANY (Hartford, CT, US)
- Claim: 1. A system comprising: a human resources department data storage device storing a human resources department employee database, the employee database storing information about a plurality of employees, including, for each employee, length of employment data, job title data, job description data, customer surveys, performance reviews, supervisor surveys, supervised employee surveys, a current leadership value corresponding to one of a plurality of defined leadership levels, and a business unit association; a training department data storage device storing a training events database, the training events database storing data about a plurality of training events including, for each training event, a total number of available spots for the training event, goals data corresponding to a functional goal of the training event, and rules data corresponding to employee selection rules for the training event including at least one rule defining the current leadership value required for selection to participate in the training event; a training program server coupled to the human resources department employee database and the training department training events database and interposed between at least one supervisor device and a plurality of employee devices, said training program server including program instructions operative to cause the training program server to: determine, by a business group rules engine, information about an employee leadership training event, including a first number of slots associated with a first business unit and a second number of slots associated with a second business unit, wherein a sum of the first number of slots and the second number of slots does not exceed the total number of available slots for the employee leadership training event, automatically select, by a first individual rules engine corresponding to the first business unit and a second individual rules engine corresponding to the second business unit, based on the information about the employee leadership training event, information in the employee database including the length of employment data, the job title data, the job description data, the customer surveys, the performance reviews, the supervisor surveys, the supervised employee surveys, current leadership values and business unit associations, and application of the goals data and rules data corresponding to the employee selection rules for the training event, a first subset of the employees in the first business unit to participate in the employee leadership training event and a second subset of employees in the second business unit to participate in the training event, responsive to selection of the first subset of the employees, automatically select, based on application of business logic, a third subset of employees from the first subset of the employees to determine: (i) a first group from the third subset of employees to automatically receive electronic invitations to participate in a second employee leadership training event, and (ii) a second group from the third subset of employees to be automatically enrolled in the second employee leadership training event; output to the at least one supervisor device a training event recommendation display which includes (i) a name of the employee leadership training event, (ii) a number of slots available for the training event, (iii) a first list of the automatically selected first subset of employees, and, (iv) a second list of recommended employees for the training event; and automatically transmit, via an employee portal, an electronic invitation to the employee leadership training event to each of the automatically selected first subset of employees, and an electronic invitation to the second employee leadership training event to each of the automatically selected first group of employees from the third subset of employees; wherein said automatic selection of said first subset of employees and said second subset of employees is based at least in part on a predictive leadership model trained with historical leadership training transaction data; wherein the predictive leadership model is configured to output leadership training program parameters including employee identifiers; and wherein the system is further configured to direct workflow based upon the leadership training program parameters.
- Claim: 2. The system of claim 1 , wherein the program instructions are further configured to cause the training program server to automatically enroll the first and second subset of employees and the second group of the third subset of employees in the employee leadership training event, and transmit enrollment recommendations to managers of the first, second, and third subset of employees.
- Claim: 3. The system of claim 1 , wherein selection of a first employee to be included in the first subset of employees is based at least in part on information about other employees.
- Claim: 4. The system of claim 1 , wherein said automatic selection is further based on (i) a geographical location, (ii) an office of an enterprise, (iii) time information, (iv) a prior employee training event, (v) an employee training event request, (vi) prior training experience, (vii) potential training program conflicts, and (viii) an overall talent potential profile.
- Claim: 5. The system of claim 1 , wherein post-employee leadership training event data is collected and used to update the predictive leadership model.
- Claim: 6. The system of claim 1 , wherein the plurality of defined leadership levels comprise: (i) an individual contributor level, (ii) an emerging leader level, (iii) a leader level, (iv) a high potential leader level, (v) an experienced leader level, (vi) an accelerated successor level, and (vii) a senior leader level.
- Claim: 7. The system of claim 1 , wherein the employee leadership training event is associated with at least one of: (i) a presentation, (ii) classroom based learning, (iii) a test, (iv) a coaching opportunity, (v) a mentoring program, (vi) a project-based learning opportunity, and (vii) an online simulation training module.
- Claim: 8. The system of claim 1 , wherein the processor is further configured to: automatically transmit information about the first subset of employees to: (i) an email server, (ii) a workflow application, (iii) a report generator, (iv) a social media server, and (v) a calendar application.
- Claim: 9. A computerized method to optimize employee leadership training program enrollment selection, the method comprising: retrieving information from an employee database stored in a human resources data storage device, said employee database storing, for each of a plurality of employees, length of employment data, job title data, job description data, customer surveys, performance reviews, supervisor surveys, supervised employee surveys, a current leadership value corresponding to one of a plurality of defined leadership levels and a business unit association; retrieving information from a training events database stored in a training department data storage device, said training events database storing data about a plurality of training events including, for each training event, a total number of available spots for the training event, goals data corresponding to a functional goal of the training event and rules data corresponding to employee selection rules for the training event including at least one rule defining the current leadership value required for selection to participate in the training event; determining, by a business group rules engine of a training program server coupled to the employee database and the training events database and interposed between at least one supervisor device and a plurality of employee devices, information about an employee leadership training event, including a number of slots associated with a first business unit and a number of slots associated with a second business unit, wherein a sum of the first number of slots and the second number of slots does not exceed the total number of available slots for the employee leadership training event; automatically selecting, by an individual rules engine, based on the information about the employee leadership training event and information in the employee database, including the length of employment data, the job title data, the job description data, the customer surveys, the performance reviews, the supervisor surveys, the supervised employee surveys, the current leadership values and business unit associations, and application of the goals data and rules data corresponding to the employee selection rules for the training event, a first subset of the employees to participate in the employee leadership training event; responsive to selection of the first subset of the employees, automatically selecting, based on application of business logic, a second subset of employees from the first subset of the employees to determine: (i) a first group from the second subset of employees to automatically receive electronic invitations to participate in a second employee leadership training event, and (ii) a second group from the second subset of employees to be automatically enrolled in the second employee leadership training event; and outputting to the at least one supervisor device a training event recommendation display which includes (i) a name of the employee leadership training event, (ii) a number of slots available for the training event, (iii) a first list of the automatically selected first subset of employees, and (iv) a second list of recommended employees for the training event; and automatically transmitting, via an employee portal, an electronic invitation to the employee leadership training event to each of the automatically selected first subset of employees, and an electronic invitation to the second employee leadership training event to each of the automatically selected first group of employees from the third subset of employees; wherein said automatic selection of said first subset of employees and said second subset of employees is based at least in part on a predictive leadership model trained with historical leadership training transaction data; and further comprising: outputting, by the predictive leadership model, leadership training program parameters including employee identifiers; and directing workflow based upon the leadership training program parameters.
- Claim: 10. The method of claim 9 , further comprising automatic enrolling the first subset of employees in the employee leadership training event, and transmitting enrollment recommendations to managers of the first subset of employees.
- Claim: 11. The method of claim 9 , wherein selection of a first employee to be included in the first subset of employees is based at least in part on information about other employees.
- Claim: 12. The method of claim 9 , wherein said automatic selection is further based on at least one of: (i) a geographical location, (ii) an office of an enterprise, and (iii) time information.
- Claim: 13. The method of claim 9 , further comprising: automatically transmitting information about the first subset of employees to: (i) an email server, (ii) a workflow application, (iii) a report generator, (iv) a social media server, and (v) a calendar application.
- Claim: 14. A system to optimize employee leadership training program enrollment selection, the system comprising: a human resources department data storage device storing an employee database, the employee database storing information about a plurality of employees, including, for each employee, a current leadership value corresponding to one of a plurality of defined leadership levels, job title data, length of employment data, job description data, customer surveys, performance reviews, supervisor surveys, and supervised employee surveys; a training department data storage device storing a training events database, the training events database storing data about a plurality of training events including, for each training event, a total number of available spots for the training event, goals data corresponding to a functional goal of the training event and rules data corresponding to employee selection rules for the training event including at least one rule defining the current leadership value required for selection to participate in the training event; a training program server coupled to the employee database and the training department training events database and interposed between at least one supervisor device and a plurality of employee devices, said training program server including program instructions operative to cause the training program server to: determine, by a business group rules engine, information about an employee leadership training event, automatically select, by an individual rules engine, based on the information about the employee leadership training event and information in the employee database, including the current leadership values job titles, lengths of employment data, job description data, customer surveys, performance reviews, supervisor surveys, and supervised employee surveys, and application of the goals data and rules data corresponding to the employee selection rules for the training event, a first subset of the employees to participate in the employee leadership training event, responsive to selection of the first subset of the employees, automatically select, based on application of business logic, a second subset of employees from the first subset of the employees to determine: (i) a first group from the second subset of employees to automatically receive electronic invitations to participate in a second employee leadership training event, and (ii) a second group from the second subset of employees to be automatically enrolled in the second employee leadership training event; output to the at least one supervisor device a training event recommendation display which includes (i) a name of the employee leadership training event, (ii) a number of slots available for the training event, (iii) a first list of the automatically selected first subset of employees, and, (iv) a second list of recommended employees for the training event; and automatically enrolling the first subset of employees in the employee leadership training event and automatically transmit, via an employee portal, an electronic invitation to the employee leadership training event to each of the automatically selected first subset of employees; wherein said automatic selection of said first subset of employees and said second subset of employees is based at least in part on a predictive leadership model trained with historical leadership training transaction data; wherein the predictive leadership model is configured to output leadership training program parameters including employee identifiers; and wherein the system is further configured to direct workflow based upon the leadership training program parameters.
- Claim: 15. The system of claim 14 , wherein selection of a first employee to be included in the first subset of employees is based at least in part on information about other employees.
- Claim: 16. The system of claim 14 , further comprising: automatically transmitting information about the first subset of employees to: (i) an email server, (ii) a workflow application, (iii) a report generator, (iv) a social media server, and (v) a calendar application.
- Patent References Cited: 5743742 April 1998 Morrel-Samuels
6587668 July 2003 Miller
7024154 April 2006 Koepper
7367808 May 2008 Frank et al.
7558767 July 2009 Scarborough
7912790 March 2011 Albertsson
8311866 November 2012 Benko et al.
8628331 January 2014 Wright
8639634 January 2014 Nelson
9501945 November 2016 Wolf
2003/0046265 March 2003 Orton
2003/0167196 September 2003 Khizer
2004/0059785 March 2004 Blume
2004/0225551 November 2004 Hole
2006/0008784 January 2006 Schmincke
2006/0160059 July 2006 Dompier
2006/0277056 December 2006 Broberg
2007/0203711 August 2007 Nation
2008/0059290 March 2008 McFaul
2008/0085497 April 2008 Holmes
2008/0162274 July 2008 Newman
2009/0138341 May 2009 Mohan
2009/0187446 July 2009 Dewar
2009/0276296 November 2009 Spriegel
2010/0057659 March 2010 Phelon et al.
2011/0161139 June 2011 Maheshwari et al.
2011/0258015 October 2011 Garrigan et al.
2012/0030128 February 2012 Nelson
2012/0173295 July 2012 Phelon et al.
2012/0244500 September 2012 Marinescu et al.
2014/0106318 April 2014 Wright
2014/0162235 June 2014 Marra
2014/0170618 June 2014 Bhimavarapu
2014/0172474 June 2014 Partridge
2014/0272833 September 2014 Gupta
2015/0019273 January 2015 Grosz
2015/0058148 February 2015 Grosz
2015/0248739 September 2015 Schulman
2015/0302335 October 2015 Unda
2016/0171423 June 2016 El-Shishiny
2016/0247072 August 2016 Auger - Other References: Gao; “Freshman Seminar Assignment Problem”; https://web.archive.org/web/20150218173105/https://www.math.cmu.edu/˜af1p/Teaching/OR2/Projects/P42/C.pdf; 2015. cited by examiner
- Assistant Examiner: Ermlick, William
- Primary Examiner: Saint-Vil, Eddy
- Attorney, Agent or Firm: Howard IP Law Group, PC
- الرقم المعرف: edspgr.10032385
- Patent Number:
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