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Company focus

Forter

What factors are contributing to the sudden 30% increase in false declines for Forter's Payment Protection service this month?

Prepared by NextSprints

12 mins
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Data Analysis Problem Solving Technical Understanding E-commerce Fintech Cybersecurity E-Commerce Data Analysis Root Cause Analysis Machine Learning Fraud Prevention
Product Management Root Cause Analysis Question: Investigating sudden increase in false declines for fraud prevention service

Introduction

The sudden 30% increase in false declines for Forter's Payment Protection service this month is a critical issue that demands immediate attention. This unexpected spike not only impacts customer satisfaction but also threatens the core value proposition of our fraud prevention solution. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term strategies to prevent future occurrences.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might be a recent change in our fraud detection algorithm. Has there been any update to our machine learning models or rule sets in the past month?

Why it matters: Recent changes could directly correlate with the increase in false declines. Expected answer: Yes, there was a model update two weeks ago. Impact on approach: If confirmed, we'd focus on analyzing the model changes and their impact.

  • Considering the scale of the increase, I'm wondering about potential data quality issues. Have we noticed any anomalies in the data feeds from our merchant partners?

Why it matters: Data quality problems could lead to incorrect risk assessments. Expected answer: No significant data anomalies reported. Impact on approach: If data quality is ruled out, we'd shift focus to internal systems and processes.

  • Given the nature of our service, I'm curious about any changes in transaction patterns. Have we seen any unusual spikes in transaction volume or changes in transaction types?

Why it matters: Shifts in transaction patterns could trigger more false positives in our system. Expected answer: There's been a 15% increase in cross-border transactions. Impact on approach: This would lead us to investigate our risk assessment for cross-border transactions.

  • Thinking about external factors, has there been any significant change in the fraud landscape, such as new types of fraud attempts or increased bot activity?

Why it matters: Evolving fraud tactics could be triggering our system to be more conservative. Expected answer: No major new fraud trends identified. Impact on approach: If confirmed, we'd focus more on internal factors rather than external threats.

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Updated Jan 22, 2025