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.
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 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.
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.
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.
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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