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Product Management Root Cause Analysis Question: Investigating sudden false positive increase in business verification system
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Nextsprints

Updated Jan 22, 2025

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Why has Trulioo's Business Verification product seen a sudden spike in false positive rates for European entities in the last week?

Data Analysis Problem Solving Risk Management Fintech Regtech Identity Verification
Verification Systems Fintech Root Cause Analysis Data Quality Compliance

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)

  • Considering the sudden nature of the spike, I'm wondering if there have been any recent changes to our verification algorithms or data sources. Have we implemented any updates to our European entity verification process in the last two weeks?

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.

  • Given the specificity to European entities, I'm curious about any regulatory changes in the EU. Has there been any new legislation or guidance affecting business verification processes in Europe recently?

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.

  • Thinking about data quality, I'm wondering about our European data providers. Have we received any notifications about data quality issues or changes in their collection methods?

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.

  • Considering potential technical issues, I'm curious about our system performance. Have there been any notable changes in processing times or server loads for European verifications?

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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