Introduction
Balancing robust fraud prevention with a frictionless onboarding experience for new merchants is a critical challenge for WePay. This trade-off directly impacts our ability to grow our merchant base while protecting our platform and users from fraudulent activities. I'll analyze this problem through multiple lenses, considering the business impact, user experience, technical feasibility, and long-term strategic implications.
I'd like to start by asking a few clarifying questions to ensure we're aligned on the context and constraints of this challenge. Then, I'll walk you through my analysis framework, including identifying key metrics, designing experiments, and developing a decision-making framework.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps quantify the urgency of improving fraud prevention Expected answer: Moderate to high losses, increasing trend Impact on approach: Would influence the balance towards stricter measures if losses are high
Why it matters: Establishes a baseline for measuring onboarding friction Expected answer: Below industry average, room for improvement Impact on approach: Would prioritize streamlining onboarding if significantly below benchmarks
Why it matters: Informs potential technical solutions and their feasibility Expected answer: Hybrid approach with room for improvement in ML capabilities Impact on approach: Would explore advanced ML solutions if current system is primarily rule-based
Why it matters: Indicates available expertise and capacity for implementing changes Expected answer: Small dedicated team with support from larger risk management group Impact on approach: Would influence the complexity and timeline of proposed solutions
Why it matters: Ensures compliance and future-proofing of our approach Expected answer: Potential new regulations in certain markets Impact on approach: Would incorporate flexibility to adapt to regulatory changes
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