Configure Candidate Grading

Before You Begin: This functionality is only available to customers who have subscribed to Recruiting Plus. Please contact your Dayforce representative if you'd like to subscribe and add this feature to your Talent Management package.

Note: The candidate grading functionality is only used for external candidates. Internal candidates aren't assigned a grade when they apply. The system doesn't display candidate grades for candidates who reside in New York City, to comply with New York City legal requirements.

When the candidate grading functionality is enabled, Dayforce uses artificial intelligence (AI) to assign a grade to candidates when they apply for jobs at your organization. These grades are displayed in the Recruiting feature along with a report card with additional details.

As part of the initial configuration for this functionality, you must initiate a one-time learning process for the candidate grading AI. This process involves analyzing historical recruiting data, including job application resumes, job requisition details, job posting details, and job description details. It also uses the settings in the Progress Indicator column of the Candidate Status feature and the Decline Reason Type column of the Decline and Offer Rejection Reason feature to learn how your organization uses candidate statuses to screen and move candidates through the recruiting process.

See How Candidate Grades Are Determined.

To configure the candidate grading functionality:

1. Enable the candidate grading functionality in Dayforce: 
   1. Go to Recruiting Setup > Client Properties.
   2. Select the Candidate Grade Enabled client property.
   3. Select the Enable this feature option below the property description.
   4. Click Save.
2. Important: To improve the accuracy of the candidate grading AI, it is highly recommended that you complete the mapping described in steps 2 and 3 of this procedure before clicking Learn from Historical Data for the client property. This button initiates the learning process for the AI and is described in more detail in step 4.
3. For more information about configuring this client property, see Configure the Candidate Grade Enabled Client Property.
2. Map new or existing decline reasons to a decline reason type. This mapping is optional but is highly recommended as it helps to identify the quality of job applications that are associated with a decline reason. You configure this mapping using the following options in the Decline Reason Type column of Recruiting Setup > Decline and Offer Rejection Reason:
   • Satisfactory Application - Not Hired: Indicates that the candidate's job application was found to be satisfactory, but they weren’t chosen for the job.
   • Unsatisfactory Application - Not Hired: Indicates that the candidate's job application was found to be unsatisfactory for the job.
   • Unsure: Indicates that the decline reason doesn't reflect the quality of the job application.
3. For more information about the Decline Reason Type column, see Decline and Offer Rejection Reason Columns.
3. Map new or existing In-Progress and Offered candidate statuses as positive or neutral indicators of a candidate's progress in the recruiting process. This mapping is optional but is highly recommended as it helps to identify what your organization considers to be a good job application. You configure this mapping using the following options in the Progress Indicator column of Recruiting Setup > Candidate Status:
   • Positive Progress: Identifies statuses that indicate positive progress in the recruiting process. Job applications that are moved to this status are identified as "good" applications, which helps improve grading for future similar job applications.
   • Neutral Progress: Identifies statuses that indicates zero or negative progress in the recruiting process. Job applications that are moved to this status don't influence grading for future similar job applications.
4. For more information about the Progress Indicator column, see Candidate Status Columns.
4. Initiate the learning process for the candidate grading AI:
5. Important: This learning process can only be initiated once. To improve the accuracy of the candidate grading AI, it is highly recommended that you complete the mapping described in steps 2 and 3 of this procedure before proceeding.
6. 1. Go to Recruiting Setup > Client Properties.
   2. Select the Candidate Grade Enabled client property.
   3. Configure each of the following fields to specify how far back Dayforce should look when analyzing historical data and grading existing job applications:
      • Lookback date for learning from past job applications: Enter the date that Dayforce will look back to when analyzing job applications for the learning process. Job applications submitted before this date will not be analyzed.
      • Lookback Period for Grading: Select the number of days that Dayforce will look back when assigning a grade to existing job applications. Job applications submitted before this period will not be graded.
   4. Click Learn from Historical Data. A confirmation dialog box opens asking you to confirm that all necessary mapping is completed in the Candidate Status and Decline and Offer Rejection Reason features.
   5. Click OK. Dayforce runs a site level background job to analyze your organization's historical recruiting data and assign grades for existing job applications based on the lookback parameters that you defined. Note that this process will take time and that grades might not be available for all candidates immediately.
5. Assign access to candidate grades and report cards in Recruiting for hiring managers, recruiters, and other users:
   1. Go to System Admin > Roles.
   2. Select the role that you want to assign access to.
   3. In the Features tab, assign the Recruiting > Job Requisitions > Candidate Grade feature.
   4. Click Save.