Your fraud system didn’t “protect revenue.”
It interrupted a legitimate user flow.
From a developer perspective, false positives are unhandled edge cases showing up at scale.
Takeaway: If valid transactions are being blocked, the system is incomplete - no matter how strong the model looks on paper.
Framework: FP as a First-Class Metric
If you treat fraud like infrastructure, you should be tracking:
- FP rate (legit tx blocked / legit tx total)
- Resolution latency (block → user success)
- Retry fallout (% users who never retry)
- Support amplification (tickets per block)
Question for the community:
Which of these do you actively monitor today—and which do you wish you had better visibility into?