Defining Verification SLIs and SLOs: A Blueprint for Engineering Leaders
Establishing robust SLIs and SLOs for verification processes can significantly reduce fraud and improve candidate experience.
Robust verification metrics are your first line of defense against fraud.Back to all posts
The $50K Hallucination: Imagine this: your AI model just hallucinated in production, resulting in a $50K hit from customer refunds. Such scenarios aren't just nightmares; they are the reality of unmonitored verification processes. Engineering leaders must recognize that the stakes are high. Every drop-off in the hiring
process is not just a lost candidate but a potential fraud attempt waiting to happen. As technology evolves, so do the tactics of bad actors. Without a robust system of SLIs and SLOs, you risk not only financial loss but also brand damage and operational inefficiencies.
Why This Matters: For engineering leaders, understanding the importance of SLIs and SLOs in verification processes is crucial. These metrics serve as leading indicators that can predict candidate drop-off and fraudulent attempts. By establishing clear SLIs—like completion rates and review rates—you can create a data-‐
driven culture around hiring integrity. This is not merely about compliance; it's about enhancing the overall candidate experience while mitigating risks. The right SLIs and SLOs empower your teams to make informed decisions, leading to better resource allocation and improved operational efficiency.
How to Implement It: Step 1: Define your SLIs and SLOs. Start by identifying key metrics such as completion rate, latency, review rate, and fraud catch rate. Step 2: Set benchmarks. Determine acceptable thresholds for each SLI and SLO to ensure that your processes are aligned with organizational goals. Step 3: Monitor.
Utilize telemetry tools to gather real-time data on these metrics. This will allow you to identify trends and make necessary adjustments. Step 4: Regularly review and adjust. Use the collected data to inform staffing decisions and policy adjustments to optimize your verification processes.
Key Takeaways: Always define SLIs and SLOs that align with your business objectives. Regularly review metrics to adapt to changing conditions and fraud patterns. Implement telemetry that not only tracks completion rates but also offers insights into reviewer workloads and candidate behavior.
Key takeaways
- Establish clear SLIs and SLOs to predict fraud and drop-off.
- Regularly review metrics to align staffing and policies.
- Implement telemetry that directly impacts reviewer workloads.
Implementation checklist
- Define SLIs and SLOs: Ensure metrics are aligned with business goals.
- Monitor telemetry: Use tools to gather data on completion rates and fraud attempts.
- Adjust staffing based on review rates: Optimize reviewer allocation based on real-time data.
Questions we hear from teams
- What SLIs should we prioritize for verification?
- Prioritize metrics like completion rate, latency, review rate, and fraud catch rate as they directly impact your hiring integrity.
- How often should we review our verification SLIs and SLOs?
- Regularly review your SLIs and SLOs, ideally on a monthly basis, to adapt to changing conditions and improve your processes.
- What tools can help monitor these metrics?
- Consider using telemetry tools that offer real-time data analytics and reporting capabilities to effectively monitor your verification metrics.
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