Method and apparatus for managing employment-related decisions

Abstract

Aspects of the subject disclosure may include, for example, selecting a subset of employees from among a group of employees according to performance data of the group of employees where the group of employees is associated with an employment position and where a group of known desired attributes is associated with the employment position, analyzing employee information for the subset of employees to identify a correlation, identifying an unknown desired attribute according to the correlation, obtaining candidate information for a group of candidates, selecting a subset of candidates from among the group of candidates according to a comparison of the group of known desired attributes, the unknown desired attribute and the candidate information. Other embodiments are disclosed.

What is claimed is: 
     
         1 . A method comprising:
 selecting, by a processing system including a processor, a subset of employees from among a group of employees according to performance data of the group of employees, wherein the group of employees is associated with an employment position, and wherein a group of known desired attributes is associated with the employment position according to selections from a list of traditional, known desired attributes associated with the employment position;   analyzing, by the processing system, employee information for the subset of employees to identify a correlation;   identifying, by the processing system, a discovered desired attribute according to the correlation and according to the discovered desired attribute not being on the list of traditional, known desired attributes associated with the employment position;   obtaining, by the processing system, candidate information for a group of candidates;   selecting, by the processing system, a subset of candidates from among the group of candidates according to a comparison of the group of known desired attributes, the discovered desired attribute and the candidate information, wherein the subset of candidates includes first and second target candidates;   analyzing, by the processing system, a response provided by the first target candidate during a first interview; and   providing, by the processing system to a communication device of a candidate interviewer that is performing a second interview of the second target candidate, feedback associated with the response according to the analyzing of the response, wherein the feedback is presented at the communication device of the candidate interviewer during the second interview.   
     
     
         2 . The method of  claim 1 , comprising:
 wherein the obtaining the candidate information for the group of candidates comprises:
 accessing resumes of the group of candidates; 
 accessing publicly available information of the group of candidates; and 
 analyzing the resumes and the publicly available information to identify correlated candidate information and de-correlated candidate information, 
   wherein the selecting of the subset of candidates from among the group of candidates is according to a comparison of weighted desired attributes, the correlated candidate information, and the de-correlated candidate information.   
     
     
         3 . The method of  claim 2 , comprising:
 selecting, by the processing system, an other subset of employees from among the group of employees according to undesired performance data;   obtaining, by the processing system, other employee information for the other subset of employees;   analyzing, by the processing system, the other employee information to identify an other correlation; and   identifying, by the processing system, a group of undesired characteristics according to the other correlation,   wherein the selecting of the subset of candidates from among the group of candidates is based in part on the group of undesired characteristics.   
     
     
         4 . The method of  claim 3 , wherein the undesired performance data includes voluntary and involuntary terminations, and a time period associated with the voluntary and involuntary terminations. 
     
     
         5 . The method of  claim 1 , wherein the analyzing of the response provided by the first target candidate during the first interview is according to the discovered desired attribute and the group of known desired attributes. 
     
     
         6 . The method of  claim 1 , comprising:
 monitoring and collecting, by the processing system, non-employment activity data for the group of employees, wherein the non-employment activity data is based on participation by the group of employees in events that are not associated with employment, wherein the selecting of the subset of employees from among the group of employees is based in part on the non-employment activity data; and   obtaining, by the processing system, non-employee information for a group of non-employees that are selected based on the employment position, wherein the correlation is identified by analyzing the employee information in combination with the non-employee information.   
     
     
         7 . The method of  claim 1 , comprising:
 monitoring, by the processing system, the group of employees to identify a particular employee that develops the discovered desired attribute;   determining, by the processing system, particular performance information of the particular employee;   determining, by the processing system, a validation of the discovered desired attribute according to the particular performance information of the particular employee; and   adding, by the processing system, the discovered desired attribute to the group of known desired attributes associated with the employment position responsive to the validation.   
     
     
         8 . The method of  claim 1 , comprising:
 monitoring, by the processing system, the group of employees to identify a particular employee that no longer has a particular known desired attribute of the group of known desired attributes;   determining, by the processing system, particular performance information of the particular employee; and   determining, by the processing system, a validation of the particular known desired attribute according to the particular performance information indicating that employment performance of the particular employee does not satisfy a performance threshold.   
     
     
         9 . The method of  claim 1 , comprising:
 monitoring, by the processing system, the group of employees to identify particular employees that have a particular known desired attribute of the group of known desired attributes;   determining, by the processing system, particular performance information of the particular employees;   determining, by the processing system, an invalidation of the particular known desired attribute according to the particular performance information indicating that employment performance of a number of the particular employees does not satisfy a performance threshold and that the number of the particular employees satisfies an invalidity threshold; and   removing, by the processing system, the particular known desired attribute from the group of known desired attributes associated with the employment position responsive to the invalidation.   
     
     
         10 . The method of  claim 1 , comprising:
 selecting, by the processing system, a second subset of employees from among the subset of employees according to second performance data;   identifying, by the processing system, a subset of the employee information for the second subset of employees;   analyzing, by the processing system, the subset of the employee information to identify a second correlation; and   weighting, by the processing system, the group of known desired attributes and the discovered desired attribute according to the second correlation resulting in weighted desired attributes,   wherein the selecting of the subset of candidates from among the group of candidates is according to the candidate information and the weighted desired attributes.   
     
     
         11 . The method of  claim 1 , wherein the first and second interviews occur in an overlapping time period. 
     
     
         12 . A device, comprising:
 a processing system including a processor; and   a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, comprising:
 selecting a subset of employees from among a group of employees according to performance data of the group of employees, wherein the group of employees is associated with an employment position, and wherein a group of known desired attributes is associated with the employment position according to selections from a list of traditional, known desired attributes associated with the employment position; 
 analyzing employee information for the subset of employees to identify a correlation; 
 identifying a discovered desired attribute according to the correlation and according to the discovered desired attribute not being on the list of traditional, known desired attributes associated with the employment position; 
 obtaining candidate information for a group of candidates; 
 selecting a subset of candidates from among the group of candidates according to a comparison of the group of known desired attributes, the discovered desired attribute and the candidate information, wherein the subset of candidates includes first and second target candidates; 
 analyzing a response provided by the first target candidate during a first interview; and 
 providing, to a communication device of a candidate interviewer that is performing a second interview of the second target candidate, feedback associated with the response according to the analyzing of the response, wherein the feedback is presented at the communication device of the candidate interviewer during the second interview. 
   
     
     
         13 . The device of  claim 12 , wherein the first and second interviews occur in an overlapping time period. 
     
     
         14 . The device of  claim 12 , wherein the analyzing of the response is according to the discovered desired attribute and the group of known desired attributes. 
     
     
         15 . The device of  claim 12 , wherein the operations further comprise:
 selecting a second subset of employees from among the subset of employees according to second performance data;   identifying a subset of the employee information for the second subset of employees;   analyzing the subset of the employee information to identify a second correlation; and   weighting the group of known desired attributes and the discovered desired attribute according to the second correlation resulting in weighted desired attributes,   wherein the selecting of the subset of candidates from among the group of candidates is according to the candidate information and the weighted desired attributes.   
     
     
         16 . The device of  claim 12 , wherein the operations further comprise:
 monitoring and collecting non-employment activity data for the group of employees, wherein the non-employment activity data is based on participation by the group of employees in events that are not associated with employment, wherein the selecting of the subset of employees from among the group of employees is based in part on the non-employment activity data.   
     
     
         17 . A non-transitory machine-readable storage medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, comprising:
 selecting a subset of employees from among a group of employees according to performance data of the group of employees, wherein the group of employees is associated with an employment position, and wherein a group of known desired attributes is associated with the employment position according to selections from a list of traditional, known desired attributes associated with the employment position; analyzing employee information for the subset of employees to identify a correlation; identifying a discovered desired attribute according to the correlation and according to the discovered desired attribute not being on the list of traditional, known desired attributes associated with the employment position;   obtaining candidate information for a group of candidates;   selecting a subset of candidates from among the group of candidates according to a comparison of the group of known desired attributes, the discovered desired attribute and the candidate information;   presenting an identification of the subset of candidates;   monitoring the group of employees to identify particular employees that have a particular known desired attribute of the group of known desired attributes;   determining particular performance information of the particular employees;   determining an invalidation of the particular known desired attribute according to the particular performance information indicating that employment performance of a number of the particular employees does not satisfy a performance threshold and that the number of the particular employees satisfies an invalidity threshold; and   removing the particular known desired attribute from the group of known desired attributes associated with the employment position responsive to the invalidation.   
     
     
         18 . The non-transitory machine-readable storage medium of  claim 17 , wherein the operations further comprise:
 selecting a second subset of employees from among the subset of employees according to second performance data;   identifying a subset of the employee information for the second subset of employees;   analyzing the subset of the employee information to identify a second correlation; and   weighting the group of known desired attributes and the discovered desired attribute according to the second correlation resulting in weighted desired attributes,   wherein the selecting of the subset of candidates from among the group of candidates is according to the candidate information and the weighted desired attributes.   
     
     
         19 . The non-transitory machine-readable storage medium of  claim 17 , wherein the subset of candidates includes first and second target candidates, and further comprising:
 analyzing a response provided by the first target candidate during a first interview; and   providing, to a communication device of a candidate interviewer that is performing a second interview of the second target candidate, feedback associated with the response according to the analyzing of the response, wherein the feedback is presented at the communication device of the candidate interviewer during the second interview.   
     
     
         20 . The non-transitory machine-readable storage medium of  claim 17 , wherein the operations further comprise:
 monitoring the group of employees to identify a particular employee that develops the discovered desired attribute;   determining particular performance information of the particular employee;   determining a validation of the discovered desired attribute according to the particular performance information of the particular employee; and   adding the discovered desired attribute to the group of known desired attributes associated with the employment position responsive to the validation.