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Fraud Feature Metric Framework

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Your question is Fraud Feature Metric Framework. Take a moment with it on the right.

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Problem

How would you design a metric framework to measure the success of a new fraud prevention feature at SoFi without hurting the legitimate user experience? Define a hierarchy of fraud, operational, customer, and financial metrics, including leading indicators and guardrails. Explain how you would calculate the metrics, segment results, establish baselines, evaluate trade-offs, and determine whether the feature should scale. Identify risks such as false positives, selection bias, delayed fraud outcomes, and Simpson's paradox. Assume relevant transaction, decision, authentication, support, and fraud-label data are available for analysis.