Measuring Verification Success: SLIs and SLOs for Engineering Leaders
Key metrics that drive fraud prevention and candidate retention in hiring.
Effective SLIs and SLOs are your first line of defense against fraud and drop-off in hiring.Back to all posts
## The $50K Hallucination Your AI model just hallucinated in production, costing $50K in customer refunds. As engineering leaders, you face the daunting reality of how a single oversight can ripple through your organization, impacting not just finances but also your brand's reputation. When it comes to candidate verifi
cation, the stakes are equally high. A failure to accurately validate identities can lead to fraudulent hires, wasted interview hours, and potential legal ramifications. In this high-stakes environment, defining effective Service Level Indicators (SLIs) and Service Level Objectives (SLOs) is not just a best practice;it
s a necessity. It’s essential to ensure that your verification processes are robust and that you can quickly identify and mitigate risks before they escalate.
## Why This Matters For engineering leaders, the importance of SLIs and SLOs in the verification process cannot be overstated. These metrics act as leading indicators that can predict candidate drop-off and potential fraud attempts. By focusing on these indicators, you can: - Minimize financial risks associated with un
verifiable candidates. - Optimize reviewer staffing based on real-time data, ensuring that your team is prepared to handle peaks in demand without sacrificing quality. - Implement proactive policy adjustments, allowing your organization to adapt quickly to emerging threats and trends in fraud attempts.
## How to Implement It To effectively define and implement SLIs and SLOs, follow these steps: 1. **Set Completion Rate Benchmarks**: Analyze historical data to establish realistic completion rates for different verification processes. Aim for a target of at least 90% to minimize drop-off. 2. **Monitor Latency**: Ensure
that your verification processes are efficient. Aim for a latency of under 30 seconds for real-time checks, as higher latency can lead to candidate frustration and drop-off. 3. **Track Review Rates**: Regularly analyze the review rates of your verification processes. A review rate below 80% may indicate a need for more
Related Resources
Key takeaways
- Define SLIs/SLOs to predict drop-off and fraud risk.
- Use telemetry data to inform staffing and policy decisions.
- Implement continuous monitoring for proactive adjustments.
Implementation checklist
- Establish completion rate benchmarks for verification processes.
- Monitor latency to ensure timely candidate evaluations.
- Track review rates to optimize staffing and operations.
Questions we hear from teams
- What are SLIs and SLOs?
- Service Level Indicators (SLIs) are metrics that measure the performance of a service, while Service Level Objectives (SLOs) are the targets set for those metrics.
- How can SLIs and SLOs help in fraud prevention?
- By establishing clear benchmarks for metrics like fraud catch rate and completion rate, organizations can proactively address vulnerabilities and optimize their verification processes.
- What should I do if our metrics indicate a problem?
- If your metrics show concerning trends, consider increasing reviewer staffing, refining verification processes, or implementing additional checks to bolster security.
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