Defining Verification SLIs and SLOs to Combat Fraud
Establishing clear metrics for identity verification can drastically reduce fraud risk and improve operational efficiency.
"Effective SLIs and SLOs are your first line of defense against fraud and inefficiency in verification processes."Back to all posts
Your AI model just flagged 10% of candidates as fraudulent, but only 3% were actual frauds. Meanwhile, 20% of candidates dropped out during verification, costing you valuable hires and wasting resources. If you're not tracking the right verification metrics, you're leaving your organization vulnerable to fraud and loss
Establishing Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for your verification processes is not just a best practice—it's a necessity. These metrics will guide your operational decisions and help you mitigate risks associated with fraud attempts and candidate drop-offs.
For engineering leaders, this is the moment to take action. By leveraging SLIs and SLOs, you can create a data-driven approach to enhance your verification processes. This will allow you to anticipate fraud attempts and improve candidate experience, ultimately saving time and resources.
### Implementation Steps: How to Define and Monitor Your SLIs and SLOs 1. **Define Key SLIs**: Focus on completion rate, latency, review rate, and fraud catch rate. Each metric will provide insights into different aspects of your verification process. 2. **Set SLOs**: Establish clear objectives for each SLI. For a low
### Key Takeaways - **Always Validate Metrics**: Regularly review your SLIs and SLOs to ensure they align with your operational goals. - **Real-time Monitoring**: Implement telemetry to track these metrics in real-time, allowing for swift adjustments to your processes. - **Staffing Adjustments**: Align reviewer roles,
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Establishing Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for your verification processes is not just a best practice—it's a necessity. These metrics will guide your operational decisions and help you mitigate risks associated with fraud attempts and candidate drop-offs.','For engineering leaders
Key takeaways
- Establish SLIs/SLOs to monitor verification processes effectively.
- Use telemetry data to predict drop-off and fraud attempts.
- Align reviewer staffing with real-time metrics to improve operational efficiency.
Implementation checklist
- Define key SLIs: completion rate, latency, review rate, fraud catch rate.
- Implement real-time telemetry to monitor these metrics.
- Adjust reviewer staffing based on fraud attempt predictions.
Questions we hear from teams
- What are SLIs and SLOs?
- SLIs (Service Level Indicators) are metrics used to measure the performance of a service, while SLOs (Service Level Objectives) are the targets set for those indicators.
- Why is monitoring these metrics important?
- Monitoring SLIs and SLOs helps predict drop-offs and fraud attempts, allowing you to make data-driven adjustments to your verification processes.
- How can I implement these metrics in my organization?
- Start by defining your key SLIs, setting clear SLOs, and implementing real-time telemetry to track these metrics effectively.
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