Evaluate Candidate Applications Using AI Matching Ratings
In Redwood, AI matching ratings help recruiting users evaluate how well candidate applications align with job requisition requirements. Generative AI analyzes candidate and requisition information and generates ratings on a scale of 0 to 5 for these categories: Education, Experience, Skills, Profile.
Recruiting administrators can enable the feature, configure when ratings are calculated, and define the relative importance of education, experience, and skills. For details, see How do I set up AI rating for job applications in Redwood?
View AI matching ratings
If you have the required privileges, configure a grid view on the Job Applications page to display matching ratings.
From the Applicant Ratings field category, add these fields to the grid:
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Education Rating
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Experience Rating
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Profile Rating
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Skill Rating
Ratings are displayed using visual rating bars, making it easier to compare candidate applications.
Calculate AI matching ratings
To calculate ratings for one or more job applications, use the Calculate Candidate Matching Rating action.
The calculation runs asynchronously. Generative AI compares candidate information with the job requisition requirements and generates the applicable ratings.
Refresh the grid periodically to check the calculation status. Possible statuses include:
- Rating in progress
- Not rated
- No data for rating
- Error while rating
When processing is complete, the ratings appears in the selected Applicant Ratings columns.
Review resume-based ratings and summaries
When candidates apply for jobs and upload resumes, Oracle Recruiting can use parsed resume information to generate AI matching ratings. When relevant information is available in the resume, Generative AI evaluates:
- Education
- Experience
- Skills
Select a rating bar to open the Profile summary page. The page displays a Generative AI summary based on information parsed from the candidate's resume.
Filter applications by rating
Use application rating filters to find candidates that meet specific rating criteria. Filtering by ratings can help you review and narrow large candidate pools more efficiently.