How to Configure Your AI Phone Screening for Diverse Candidates in 2026

In 2026, organizations focusing on diversity in hiring are seeing a 30% increase in overall employee satisfaction and retention rates. Yet, many still struggle with bias in the recruitment process. Configuring your AI phone screening to enhance diversity can be accomplished in just two hours. This guide will provide you with a structured approach to set up a bias-free recruitment process, ensuring your candidate pool reflects a range of backgrounds and experiences.

Prerequisites for Effective Configuration

Before diving into the setup, ensure you have the following:

• Accounts: Access to your AI phone screening platform (e.g., NTRVSTA).
• Admin Access: Ensure you have the necessary permissions to modify settings.
• Time Estimate: Allocate a maximum of two hours for the entire process.

Step-by-Step Configuration Guide

Step 1: Define Diversity Goals

Establish clear diversity metrics that align with your organization's values. Consider factors like gender, ethnicity, disability status, and veteran status. Document these goals as they will inform your screening questions and evaluation criteria.

Step 2: Customize Screening Questions

Utilize your AI phone screening tool to create tailored questions that assess both skills and cultural fit without introducing bias. Focus on situational and behavioral questions that allow candidates to showcase their experiences.

Expected Outcome: A question set that is inclusive and relevant to diverse candidates, promoting equitable evaluation.

Step 3: Set Up AI Bias Detection

Activate the AI bias detection feature within your screening software. This tool analyzes your questions and scoring criteria to identify potential biases. Adjust your questions based on the feedback provided to ensure neutrality.

Expected Outcome: A refined list of questions that minimizes bias and promotes fair evaluation.

Step 4: Configure Scoring Metrics

Implement scoring metrics that focus on skills and competencies rather than demographic factors. NTRVSTA’s AI resume scoring can help you filter out candidates with fake credentials, ensuring that your focus remains on genuine qualifications.

Expected Outcome: A structured scoring system that prioritizes merit over background.

Step 5: Test and Refine

Run a pilot screening session with a diverse group of candidates to assess the effectiveness of your configuration. Gather feedback from both candidates and hiring managers to identify areas for improvement.

Expected Outcome: A data-driven understanding of candidate experience and evaluation effectiveness.

Step 6: Integrate with ATS

Ensure your AI phone screening tool is integrated with your Applicant Tracking System (ATS) like Greenhouse or Workday. This integration allows for seamless candidate tracking and reporting.

Expected Outcome: A streamlined process that enables efficient management of diverse candidates.

Troubleshooting Common Issues

1. Low Candidate Engagement: Adjust questions to be more engaging and relevant.
2. Bias Detection Flags: Revisit your question set and scoring criteria; make adjustments as necessary.
3. Integration Errors: Check API settings and ensure proper permissions are set in both systems.
4. Candidate Drop-off Rates: Analyze the candidate experience; simplify the process where possible.
5. Data Reporting Issues: Ensure all integrations are properly configured to capture the necessary data.

Conclusion: Actionable Takeaways

1. Set Clear Diversity Metrics: Document specific diversity goals to guide your recruitment strategy.
2. Utilize AI Bias Detection: Leverage AI tools to refine your screening process and minimize bias.
3. Engage Candidates Effectively: Create engaging and relevant screening questions to improve candidate experience.
4. Integrate Systems: Ensure your AI phone screening integrates with your ATS for better data management.
5. Iterate Based on Feedback: Use pilot testing and feedback to continuously improve your screening process.

By following these steps, you can configure your AI phone screening to foster a more diverse candidate pool in just two hours.