Introduction
For Riskified's Account Takeover Protection, we're facing a critical trade-off between enhancing real-time detection capabilities and improving post-attack analysis and reporting features. This decision will significantly impact our ability to prevent fraud and provide value to our clients. I'll analyze this trade-off by examining the product context, identifying key metrics, designing experiments, and providing a data-driven recommendation.
I'd like to start by asking a few clarifying questions to ensure we're aligned on the context and constraints of this decision. Then, I'll walk you through my analysis framework, covering product understanding, trade-off impacts, metrics, experimentation, and decision-making. Does this approach work for you?
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps prioritize features based on current threat landscape Expected answer: Increase in bot-driven attacks and social engineering Impact on approach: Would influence the balance between real-time and post-attack features
Why it matters: Aligns solution with business incentives Expected answer: Mix of volume-based pricing with performance bonuses Impact on approach: Would emphasize features that directly impact detection accuracy
Why it matters: Ensures solution addresses key client needs Expected answer: Mix of real-time prevention and post-attack insights requests Impact on approach: Would help balance resource allocation between the two areas
Why it matters: Determines feasibility of enhancing real-time capabilities Expected answer: Current latency under 100ms, with some room for added complexity Impact on approach: Would influence the extent of real-time enhancements possible
Why it matters: Helps understand our capacity to execute in each area Expected answer: Slightly more real-time detection experts Impact on approach: Would impact the feasibility and timeline for each option
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