Introduction
The unexpected 20% decrease in approval rates for Riskified's Account Secure solution among new enterprise clients this quarter is a critical issue that demands immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications.
My analysis will follow a structured framework, covering issue identification, hypothesis generation, validation, and solution development. This approach ensures we thoroughly examine all aspects of the problem and develop a comprehensive plan to address it.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Changes in onboarding could directly impact approval rates. Expected answer: Yes, we updated the onboarding process last month. Impact on approach: If confirmed, we'd focus on analyzing the new onboarding steps.
Why it matters: This helps isolate whether the issue is specific to new clients or a broader problem. Expected answer: No, existing clients' approval rates have remained stable. Impact on approach: If confirmed, we'd focus on factors unique to new client integration.
Why it matters: Changes in the risk model could significantly impact approval rates. Expected answer: Yes, we implemented a new machine learning model two months ago. Impact on approach: If confirmed, we'd scrutinize the new model's performance and potential biases.
Why it matters: Different client profiles could have varying risk profiles, affecting approval rates. Expected answer: We've seen an increase in clients from the financial services sector. Impact on approach: If confirmed, we'd analyze how industry-specific factors might impact approval rates.
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