Electronic employee selection systems and methods
First Claim
1. An apparatus for assisting in determining the suitability of an individual for employment by an employer, the apparatus comprising:
- an electronic data interrogator configured to present a first set of a plurality of questions to the individual;
an electronic answer capturer configured to electronically store the individual'"'"'s responses to at least a selected plurality of the first set of questions presented to the individual;
an electronic predictor responsive to the stored answers and configured to predict at least one post-hire outcome for at least one job performance criterion if the individual were to be employed by the employer, the predictor providing a prediction of the at least one post-hire outcome for the at least one job performance criterion based upon correlations of the stored answers with answers to sets of questions by other individuals for which post-hire information has been collected; and
an electronic results provider providing an output indicative of the prediction of the at least one post-hire outcome for the at least one job performance criterion to assist in determining the suitability of the individual for employment by the employer;
wherein the electronic results provider is configured to provide a hiring recommendation based at least on the at least one post-hire outcome for the at least one job performance criterion;
wherein the electronic results provider is further configured to determine a score for the individual, further configured to determine whether the score is over a threshold, and further configured to identify the individual as a favorable candidate if the score is over the threshold.
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Accused Products
Abstract
An automated employee selection system can use a variety of techniques to provide information for assisting in selection of employees. For example, pre-hire and post-hire information can be collected electronically and used to build an artificial-intelligence based model. The model can then be used to predict a desired job performance criterion (e.g., tenure, number of accidents, sales level, or the like) for new applicants. A wide variety of features can be supported, such as electronic reporting. Pre-hire information identified as ineffective can be removed from a collected pre-hire information. For example, ineffective questions can be identified and removed from a job application. New items can be added and their effectiveness tested. As a result, a system can exhibit adaptive learning and maintain or increase effectiveness even under changing conditions.
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Citations
47 Claims
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1. An apparatus for assisting in determining the suitability of an individual for employment by an employer, the apparatus comprising:
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an electronic data interrogator configured to present a first set of a plurality of questions to the individual; an electronic answer capturer configured to electronically store the individual'"'"'s responses to at least a selected plurality of the first set of questions presented to the individual; an electronic predictor responsive to the stored answers and configured to predict at least one post-hire outcome for at least one job performance criterion if the individual were to be employed by the employer, the predictor providing a prediction of the at least one post-hire outcome for the at least one job performance criterion based upon correlations of the stored answers with answers to sets of questions by other individuals for which post-hire information has been collected; and an electronic results provider providing an output indicative of the prediction of the at least one post-hire outcome for the at least one job performance criterion to assist in determining the suitability of the individual for employment by the employer;
wherein the electronic results provider is configured to provide a hiring recommendation based at least on the at least one post-hire outcome for the at least one job performance criterion;
wherein the electronic results provider is further configured to determine a score for the individual, further configured to determine whether the score is over a threshold, and further configured to identify the individual as a favorable candidate if the score is over the threshold. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A method for assessing suitability of persons for employment based on information for hired employees, the method comprising:
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collecting pre-hire data comprising pre-hire applicant information for employment applicants; collecting post-hire data comprising post-hire measures of the job effectiveness of hired employees; constructing an artificial intelligence model identifying associations of patterns within the pre-hire data associated with patterns of job effectiveness in the post-hire data; collecting pre-hire information for a new applicant; applying the artificial intelligence model to the pre-hire information for the new applicant to provide a prediction of the new applicant'"'"'s suitability for employment; determining a score for the new applicant based at least on the prediction; and determining whether the score based at least on the prediction is over a threshold. - View Dependent Claims (21, 22)
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23. An apparatus for assisting in determining the suitability of an individual for employment by an employer, the apparatus comprising:
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means for electronically presenting a first set of a plurality of questions to the individual; means for electronically storing the individual'"'"'s responses to at least a selected plurality of the first set of questions presented to the individual; responsive to the stored answers, means for predicting at least one post-hire outcome for at least one job performance criterion if the individual were to be employed by the employer, the means for predicting providing a prediction of the at least one post-hire outcome for the at least one job performance criterion based upon correlations of the at least one characteristic with answers to sets of questions by other individuals and the closeness of the stored answers to such correlations; means for determining a score for the individual based at least on the prediction of the at least one post-hire outcome for the at least one job performance criterion; means for determining whether the score meets a threshold; and means for providing an output indicative of the at least one post-hire outcome for the at least one job performance criterion and whether the score meets the threshold to assist in determining the suitability of the individual for employment by the employer.
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24. An artificial intelligence-based system for predicting employee behaviors based on pre-hire information collected for the employee, the system comprising:
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an electronic device for presenting an employment application comprising a set of questions to an employment candidate, wherein the electronic device is configured to transmit answers of the employment candidate to a central store of employee information, wherein the central store of employee information comprises information collected for a plurality of candidate employees and a plurality of hired employees; an artificial intelligence-based model constructed from information collected from the hired employees based on answers provided by the hired employees and employment behaviors observed for the hired employees; a software system for supplying the answers of the employment candidate to the artificial intelligence-based model to produce predicted employment behaviors for the employment candidate, generate a score for the employment candidate based at least on the predicted employment behaviors, and determine whether the score exceeds a threshold; and a report generator to produce a hiring recommendation report for the employment candidate based on the predicted employment behaviors of the employment candidate and whether the score exceeds the threshold.
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25. A computer-implemented method of predicting employment performance characteristics for a candidate employee based on pre-hire information collected for hired employees, the method comprising:
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collecting data indicating pre-hire information for a plurality of the hired employees; collecting data indicating post-hire outcomes for the hired employees; constructing an artificial intelligence-based model from the pre-hire information and the post-hire outcomes for the employees; from the candidate employee, electronically collecting data indicating pre-hire information of the candidate employee; applying the model to the collected pre-hire information of the candidate employee to generate one or more predicted post-hire outcomes for the candidate employee; based at least on the one or more predicted post-hire outcomes for the candidate employee, determining a score for the candidate employee; and determining whether the score for the candidate employee exceeds a threshold. - View Dependent Claims (26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42)
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43. An artificial intelligence-based employee performance prediction system comprising:
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a set of pre-hire characteristic identifiers; a set of post-hire outcome identifiers; a collection of data for employees, wherein the data includes values associated with the pre-hire identifiers and the post-hire identifiers; an artificial intelligence-based model chosen from a set of candidate models, the artificial intelligence-based model exhibiting superior ability in comparison to other of the candidate models at predicting values associated with the post-hire outcome identifiers based on values associated with the pre-hire characteristic identifiers; and a score generator configured to generate a score for a candidate based on values predicted by the artificial intelligence-based model processing answers to a series of questions by a candidate employee, wherein the score for the candidate employee is compared to a threshold to determine whether the score is over the threshold.
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44. A computer-readable medium having a collection of employment-related data, the data comprising:
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pre-hire information for a plurality of employees, wherein the pre-hire information comprises information electronically-collected from an applicant, wherein the information comprises a plurality of pre-hire characteristics; post-hire information for at least some of the plurality of employees, wherein the information comprises a plurality of post-hire outcomes; a data structure identifying which of the pre-hire characteristics are effective in predicting a set of one or more of the post-hire outcomes for at least one job performance criterion for a job applicant; a set of scores for candidate employees, wherein the scores are generated via the set of one or more of the post-hire outcomes; and an indication of which of the scores for the candidate employees are over a threshold.
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45. A method for providing an automated hiring recommendation for a new potential employee, the method comprising:
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collecting pre-hire information for potential employees; storing the pre-hire information for the potential employees in a database; after hiring a plurality of the potential employees, collecting employment performance information for at least some of the hired employees; storing the employment performance information collected from the hired employees; constructing an artificial intelligence-based model based on correlations between the pre-hire information and the employment performance information collected from one or more of the hired employees; collecting pre-hire information for a new potential employee; based on the artificial intelligence-based model, providing an automated hiring recommendation for the new potential employee, wherein the providing comprises generating a score for the new potential employee based at least on predictions generated from the artificial intelligence-based model and determining whether the score exceeds a threshold; after hiring the new potential employee, collecting employment performance information for the new potential employee; adding the employment performance information for the new potential employee to the database; and modifying the artificial intelligence-based model based on the pre-hire and employment performance information for the new potential employee.
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46. A method for providing an automated hiring recommendation service for an employer, the method comprising:
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stationing a plurality of electronic devices at a plurality of employer sites, wherein the electronic devices are configured to accept directly from one or more job applicants answers to questions presented at the electronic devices; sending the answers of at least one of the job applicants to a remote site for analysis; applying an artificial intelligence-based predictive model to the answers of the least one of the job applicant to generate an automated hiring recommendation; generating overall scores for the job applicants based at least on output of the artificial intelligence-based predictive model; determining whether the overall scores exceed a threshold; and automatically sending the hiring recommendation to the employer, wherein the hiring recommendation indicates whether the overall scores exceed a threshold.
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47. An apparatus for assisting in determining suitability of an individual for employment by an employer, the apparatus comprising:
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means for electronically presenting a first set of a plurality of means for questioning to the individual; means for electronically storing answers of the individual to at least a selected plurality of the first set of means for questioning presented to the individual; responsive to the stored answers, means for predicting at least one post-hire outcome for at least one job performance criterion if the individual were to be employed by the employer, the means for predicting providing a prediction of the at least one post-hire outcome for the at least one job performance criterion based upon correlations of the stored answers with answers to sets of questions by other individuals for which post-hire information has been collected; and means for providing an output indicative of the at least one post-hire outcome for the at least one job performance criterion to assist in determining the suitability of the individual for employment by the employer;
wherein the means for providing output is configured to provide a hiring recommendation based at least on the at least one post-hire outcome for the at least one job performance criterion;wherein the means for providing output is further configured to determine a score for the candidate and further configured to determine whether the score is over a threshold; wherein the output indicative of the at least one post-hire outcome for the at least one job performance criterion indicates predicted absenteeism for the individual.
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Specification