Talent platform exchange and rating system
According to various aspects, systems and methods are provided for tracking actions performed in various disparate talent platforms, and generating ratings for parties that use the talent platforms based on the tracked actions. Some embodiments provide objective ratings of hiring and staffing parties that are automatically determined based on stored data records of tracked actions. The hiring and staffing party ratings may build transparency of activity performed by the parties within the disparate talent platforms. This in turn builds trust among users of the online system.
1. An exchange system comprising:
a database;
a network interface coupled to a hiring talent platform associated with a hiring party and to a staffing talent platform associated with a staffing party; and
at least one processor configured to:
receive, via the network interface, at least one job requisition from the hiring talent platform;
in response to receiving the at least one job requisition, cause a graphical user interface executable at the staffing talent platform to display the at least one job requisition;
determine a rating of the staffing party using information from the at least one job requisition and an augmented dataset in the database;
cause the graphical user interface executable at the staffing talent platform to display the rating of the staffing party concurrently with displaying the at least one job requisition;
in response to causing the graphical user interface executable at the staffing talent platform to display the rating of the staffing party, cause the graphical user interface executable at the staffing talent platform to trigger a candidate profile submission process;
receive at least one candidate profile submission to the at least one job requisition from the staffing talent platform; and
in response to receiving the at least one candidate profile submission to the at least one job requisition from the staffing talent platform, cause a graphical user interface executable at the hiring talent platform to display the rating of the staffing party in association with displaying the at least one job requisition and the at least one candidate profile submission submitted by the staffing party;
wherein the rating of the staffing party includes at least a job specific rating indicative of a performance of the staffing party in a job category associated with the at least one job requisition.
2. The exchange system of claim 1 , wherein the rating of the staffing party additionally includes an overall rating indicative of overall performance of the staffing party.
3. The exchange system of claim 1 , wherein the at least one processor is configured to use the rating of the staffing party to make recommendations to users.
4. The exchange system of claim 1 , wherein the at least one processor is configured to:
store transaction data in the database, the transaction data includes:
user interactions associated with accepting and/or rejection one or more candidate submissions; and/or
a time taken to perform respective user interactions at the hiring talent platform; and
determine the rating of the staffing party at least in part by using the augmented dataset including at least a portion of the transaction data.
5. The exchange system of claim 1 , wherein the at least one processor is configured to determine the rating of the staffing party at least in part by using the augmented dataset including:
additional datasets referenced in at least one of a job description and the at least one candidate profile submission; and/or
candidate assessments.
6. The exchange system of claim 1 , wherein the at least one processor is further configured to execute a trained statistical classifier (TSC), the TSC being configured to:
classify the at least one job requisition within a class of job requisitions; and
determine the rating of the staffing party for the class of job requisitions.
7. The exchange system of claim 6 , wherein the at least one processor is configured to classify the at least one job requisition using at least one member of a group comprising:
job category;
salary;
experience requirement;
education requirement; and/or
geographical location.
8. A method, comprising, by at least one processor of an exchange system comprising a network interface in communication with a hiring talent platform associated with a hiring party and with a staffing talent platform associated with a staffing party:
receiving, via the network interface, at least one job requisition from the hiring talent platform;
in response to receiving the at least one job requisition, causing a graphical user interface executable at the staffing talent platform to display the at least one job requisition;
determining a rating of the staffing party using information from the at least one job requisition and an augmented dataset in a database;
causing the graphical user interface executable at the staffing talent platform to display the rating of the staffing party concurrently with displaying the at least one job requisition;
in response to causing the graphical user interface executable at the staffing talent platform to display the rating of the staffing party, causing the graphical user interface executable at the staffing talent platform to trigger a candidate profile submission process;
receiving at least one candidate profile submission to the at least one job requisition from the staffing talent platform; and
in response to receiving the at least one candidate profile submission to the at least one job requisition from the staffing talent platform, causing a graphical user interface executable at the hiring talent platform to display the rating of the staffing party in association with displaying the at least one job requisition and the at least one candidate profile submission submitted by the staffing party;
wherein the rating of the staffing party includes at least a job specific rating indicative of a performance of the staffing party in a job category associated with the at least one job requisition.
9. The method of claim 8 , wherein the rating of the staffing party additionally includes an overall rating indicative of overall performance of the staffing party.
10. The method of claim 8 , further comprising, by the at least one processor: using the rating of the staffing party to make recommendations to users.
11. The method of claim 8 , further comprising, by the at least one processor:
storing transaction data in a database of the exchange system, the transaction data includes:
user interactions associated with accepting and/or rejection one or more candidate submissions; and/or
a time taken to perform respective user interactions at the hiring talent platform; and
determining the rating of the staffing party at least in part by using the augmented dataset including at least a portion of the transaction data in the database.
12. The method of claim 8 , further comprising, by the at least one processor, determining the rating of the staffing party at least in part by using the augmented dataset including:
additional datasets referenced in at least one of a job description and the at least one candidate profile submission; and/or
candidate assessments.
13. The method of claim 8 , further comprising, by the at least one processor, executing a trained statistical classifier (TSC), the TSC being configured to:
classify the at least one job requisition within a class of job requisitions; and
determine the rating of the staffing party for the class of job requisitions.
14. The method of claim 13 , further comprising, by the at least one processor, classifying the at least one job requisition using at least one member of a group comprising:
job category;
salary;
experience requirement;
education requirement; and/or
geographical location.
15. A non-transitory computer readable medium containing program instructions that, when executed, cause at least one processor of an exchange system comprising a network interface in communication with a hiring talent platform associated with a hiring party and with a staffing talent platform associated with a staffing party, to perform a method comprising:
receiving, via the network interface, at least one job requisition from the hiring talent platform;
in response to receiving the at least one job requisition, causing a graphical user interface executable at the staffing talent platform to display the at least one job requisition;
determining a rating of the staffing party using information from the at least one job requisition and an augmented dataset in a database;
causing the graphical user interface executable at the staffing talent platform to display the rating of the staffing party concurrently with displaying the at least one job requisition;
in response to causing the graphical user interface executable at the staffing talent platform to display the rating of the staffing party, causing the graphical user interface executable at the staffing talent platform to trigger a candidate profile submission process;
receiving at least one candidate profile submission to the at least one job requisition from the staffing talent platform; and
in response to receiving the at least one candidate profile submission to the at least one job requisition from the staffing talent platform, causing a graphical user interface executable at the hiring talent platform to display the rating of the staffing party in association with displaying the at least one job requisition and the at least one candidate profile submission submitted by the staffing party;
wherein the rating of the staffing party includes at least a job specific rating indicative of a performance of the staffing party in a job category associated with the at least one job requisition.
16. The non-transitory computer readable medium of claim 15 , wherein the method further comprises:
storing transaction data in a database of the exchange system, the transaction data includes:
user interactions associated with accepting and/or rejection one or more candidate submissions; and/or
a time taken to perform respective user interactions at the hiring talent platform; and
determining the rating of the staffing party at least in part by using the augmented dataset including at least a portion of the transaction data in the database.
17. The non-transitory computer readable medium of claim 15 , wherein the method further comprises executing a trained statistical classifier (TSC), the TSC being configured to:
classify the at least one job requisition within a class of job requisitions; and
determine the rating of the staffing party for the class of job requisitions.