Introduction
Trulioo's Business Verification product has experienced an unexpected increase in false positive rates for European entities over the past week. This issue directly impacts the product's core functionality and customer trust. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both immediate and long-term solutions.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes could directly correlate with the increase in false positives. Expected answer: Yes, there was a minor update to our European database integration. Impact on approach: If confirmed, we'd focus on the recent change as a primary suspect.
Why it matters: Regulatory changes could force adjustments in our verification criteria, potentially leading to more false positives. Expected answer: No major regulatory changes, but there's been discussion about upcoming reforms. Impact on approach: If no immediate changes, we'd look more closely at internal factors or data sources.
Why it matters: Data source reliability directly impacts our verification accuracy. Expected answer: One of our smaller providers mentioned some data collection changes. Impact on approach: This would prompt a deep dive into that specific data source and its impact on our overall process.
Why it matters: Technical issues could lead to timeouts or incomplete verifications, increasing false positives. Expected answer: No significant changes in system performance metrics. Impact on approach: If confirmed, we'd shift focus from infrastructure to data and algorithm analysis.
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