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Balance Customer Satisfaction with Fraud Prevention: Key Metrics to Track

TikTokData Scientist · Onsite
MediumData ScientistOnsiteAnalytics & Experimentation

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Evaluates risk-decisioning trade-offs between customer experience and fraud prevention in payment products. Strong answers cover cost-sensitive thresholds, false declines, fraud loss, experimentation, monitoring, and delayed labels.

Scenario

Product and risk teams disagree about how aggressively to block suspicious transactions because it may hurt legitimate customers.

Question

How would you balance customer satisfaction with fraud prevention? Which metrics would you track to evaluate whether the balance is working over time?

Hints

Discuss precision-recall trade-off, false-positive rate, dispute rate, NPS, A/B tests, cost-benefit.