Introduction
Balancing simplified merchant onboarding with robust fraud prevention is a critical trade-off for Paystack. This scenario involves weighing the ease of acquiring new merchants against the need to protect the platform and its users from fraudulent activities. I'll analyze this trade-off by examining the product ecosystem, identifying key metrics, designing experiments, and providing a strategic recommendation.
Analysis Approach
I'd like to start by asking a few clarifying questions to ensure we're aligned on the context and objectives of this trade-off analysis.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps gauge the urgency of simplifying onboarding Expected answer: Slight decline in acquisition rate Impact on approach: Would prioritize onboarding simplification if acquisition is lagging
Why it matters: Establishes a baseline for evaluating fraud prevention effectiveness Expected answer: Below industry average, but room for improvement Impact on approach: Would influence the extent of fraud prevention measures we're willing to compromise
Why it matters: Allows for a more nuanced approach to onboarding and fraud prevention Expected answer: Varied risk levels across merchant categories Impact on approach: Would enable targeted simplification for low-risk segments
Why it matters: Determines the feasibility of maintaining robust fraud prevention while simplifying onboarding Expected answer: Moderately advanced, with ongoing improvements Impact on approach: Would influence the balance between automated and manual fraud checks
Why it matters: Helps assess the operational impact of changing our approach Expected answer: Team is at or near capacity Impact on approach: Would influence decisions on automating processes or hiring additional staff
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