Defining Verification SLIs/SLOs: A Guide for Engineering Leaders
Establish actionable metrics to predict drop-off and fraud in your hiring processes.
"Effective verification is not just about catching fraud; it's about creating a seamless candidate experience that builds trust."Back to all posts
In today's competitive hiring landscape, the stakes are higher than ever. Imagine a scenario where a single legacy code bug in your verification system leads to a $50K payout in customer refunds due to fraud. This isn't just a hypothetical situation; it’s a reality many organizations face when they fail to implement a
robust verification strategy. As engineering leaders, your responsibility extends beyond merely delivering features; you must also safeguard your organization against fraud and inefficiencies that can derail your hiring process.
Defining key performance indicators such as completion rates, latency, review rates, and fraud catch rates can provide actionable insights into your verification processes. These metrics serve as leading indicators that not only predict drop-off rates but also identify potential fraud attempts before they escalate. In
fact, a well-structured telemetry system can help you correlate these metrics directly to reviewer staffing levels and policy adjustments, ensuring that your hiring pipeline remains both efficient and secure.
The cost of inaction is steep. A high drop-off rate during candidate verification can indicate friction points in the user experience, leading to lost talent. Furthermore, failing to catch fraud attempts can result in financial losses and reputational damage. By establishing clear SLIs and SLOs, you can create a data -
driven approach to hiring that minimizes risk and maximizes efficiency. Regularly reviewing these metrics allows for timely adjustments in strategy, ensuring that your team is always prepared for the challenges of modern hiring.
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Key takeaways
- Establish clear SLIs and SLOs to monitor verification efficiency.
- Leverage telemetry to inform staffing and policy decisions.
- Regularly review metrics to adapt to changing fraud patterns.
Implementation checklist
- Define SLIs for completion rate, latency, review rate, and fraud catch rate.
- Implement real-time telemetry to track these metrics.
- Schedule regular reviews of metrics to adjust staffing and policies accordingly.
Questions we hear from teams
- What are SLIs and SLOs in the context of verification?
- SLIs (Service Level Indicators) are metrics that help measure the performance of your verification processes, while SLOs (Service Level Objectives) are the targets you aim to achieve with those metrics.
- How can telemetry improve my hiring process?
- Telemetry provides real-time insights into your verification metrics, allowing you to identify trends and make data-driven decisions that improve efficiency and reduce fraud.
- What should I do if my fraud catch rate is low?
- Evaluate your verification processes, identify potential weaknesses, and adjust your SLIs and SLOs accordingly. Regular reviews and updates can help you stay ahead of fraud attempts.
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