AI Scoring Overview

AI Scoring is designed to streamline the candidate screening process by automating the evaluation of resumes. This allows recruiters and hiring managers to focus on engaging with the most qualified candidates, rather than sifting through a high volume of applications.

How It Works:

1. Defining Job Criteria:

   • Job Setup: When creating a job in Kula ATS, you'll configure AI Scoring settings. This involves specifying the required attributes for the role, such as skills, education, and experience.

   • Scoring Settings: You can define what skills and qualifications are necessary and prioritize them according to their importance. For example, for a Front-End Engineer position, you would list relevant skills and experience, and optionally, educational requirements.

   • Prioritization: Set the priority of different attributes to ensure the AI focuses on the most critical criteria.

   • Auto-Reject Threshold: You can set an automatic rejection threshold. For instance, candidates scoring below a certain threshold (e.g., 30) can be automatically rejected. Initially, you may choose to manually review scores to build confidence in the AI's accuracy before enabling auto-rejection.
     
     

     

2. Configuring AI Scoring:

   • Attributes: Include attributes like skills, experience, average time in previous roles, and education. These attributes are used to assess how well candidates fit the job requirements.

     

3. Candidate Screening:

   • Application Review: As candidates apply for a position, AI Scoring evaluates their resumes against the configured attributes and job description.

   • Scoring: Each candidate receives a score based on how well they meet the defined criteria. The AI also explains why a candidate is deemed a good or bad fit, providing insights that help in the decision-making process.
     
     

     

Tips and Best Practices

• Accurate Configuration: Ensure that the scoring settings are accurately defined to match the job requirements.

• Regular Updates: Update the scoring criteria and thresholds as needed to reflect changes in job requirements or recruitment strategies.

• Monitor AI Performance: Regularly review the AI Scoring results and adjust configurations to improve accuracy and reliability.

FAQs

Q:How can I customize the attributes used for AI Scoring?

A: Configure the scoring settings during job creation to specify the relevant attributes and their priorities.

Q:Can I adjust the auto-rejection threshold after it’s been set?

A: Yes, you can modify the threshold as needed based on the performance and accuracy of the AI Scoring.