How to Integrate AI Phone Screening with Greenhouse to Reduce Time-to-Hire by 50%
How to Integrate AI Phone Screening with Greenhouse to Reduce Time-to-Hire by 50%
In 2026, the average time-to-hire across industries is a staggering 42 days, with many organizations struggling to fill critical positions promptly. However, companies integrating AI phone screening into their Greenhouse ATS have reported reductions in this metric by as much as 50%. This article offers a detailed tutorial on how to leverage NTRVSTA’s AI phone screening capabilities with Greenhouse, streamlining your hiring process and enhancing candidate engagement.
Prerequisites for Integration
Before diving into the integration steps, ensure you have the following:
- Greenhouse Account: Admin access is necessary to configure integrations.
- NTRVSTA Account: Create an account to access the AI phone screening tool.
- Estimated Time: Most teams can complete this integration in 2-3 business days.
Step-by-Step Integration Guide
Step 1: Access Greenhouse API Settings
Log into your Greenhouse account and navigate to the API section under "Dev Center." Here, you will generate an API key that allows NTRVSTA to communicate with your ATS.
Step 2: Set Up NTRVSTA Account
In your NTRVSTA dashboard, locate the integrations section. Input the API key from Greenhouse to establish a connection between the two platforms.
Step 3: Configure Screening Parameters
Define the screening parameters within NTRVSTA. This includes specifying the types of questions, the screening process, and the languages required. NTRVSTA supports over 9 languages, making it ideal for diverse candidate pools.
Step 4: Test the Integration
Conduct a test run by sending a mock candidate through the AI phone screening process. Monitor the results in both NTRVSTA and Greenhouse to ensure data flows correctly.
Step 5: Go Live
Once testing is successful, you can go live with the integration. Start sending candidates through the AI phone screening process, which typically reduces screening time from 45 to 12 minutes.
Expected Outcomes
After completing these steps, you should see:
- Reduced Screening Time: Decrease from 45 to 12 minutes.
- Improved Candidate Experience: With a 95% completion rate, candidates will engage more effectively.
- Streamlined Data Flow: Candidate data will automatically populate in Greenhouse.
Troubleshooting Common Issues
- API Key Errors: Ensure the API key is correctly copied without extra spaces.
- Data Not Transferring: Check integration settings in both NTRVSTA and Greenhouse.
- Language Settings: Confirm that language preferences are set correctly for candidate interaction.
- Screening Parameters Misconfiguration: Review the questions set in NTRVSTA for any discrepancies.
- Testing Failures: If tests fail, revert to Step 2 and confirm all settings before testing again.
Total Cost of Ownership Analysis
When considering the integration of AI phone screening, it's essential to look beyond licensing costs:
- NTRVSTA Costs: Pricing ranges from $500/month for small teams to $2,000/month for enterprise solutions.
- Greenhouse Costs: Typically starts at $6,000 annually for small businesses.
- Time Savings: Reducing time-to-hire by 21 days can translate into significant cost savings. For example, if the average cost per hire is $4,000, the savings can amount to $84,000 per year for a team hiring 20 positions.
Conclusion: Actionable Takeaways
- Establish Clear Parameters: Define your screening criteria upfront to maximize efficiency.
- Leverage Multilingual Capabilities: Use NTRVSTA’s multilingual support to engage a broader candidate base.
- Monitor Metrics Continuously: Regularly assess time-to-hire and candidate experience metrics to identify areas for improvement.
- Train Your Team: Ensure your recruiting team is familiar with the new system to encourage consistent usage.
- Utilize Data for Decision Making: Analyze screening results to refine your candidate selection process further.
Integrating AI phone screening with Greenhouse not only accelerates your hiring process but also enhances candidate engagement, making it a strategic move in today’s competitive job market.
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