Introduction
The recent 20% decrease in the adoption rate of Checkout.com's Fraud Detection tool among new merchants is a concerning trend that requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.
Framework overview
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 the onboarding process could directly impact adoption rates. Expected answer: Yes, we updated the UI for merchant registration. Impact on approach: If confirmed, we'd focus on analyzing the new UI's impact on adoption.
Why it matters: Understanding the baseline helps quantify the impact and set realistic recovery goals. Expected answer: The previous adoption rate was around 80%. Impact on approach: This would help us set benchmarks for improvement and assess the severity of the decline.
Why it matters: This helps isolate whether the issue is specific to new merchants or part of a broader trend. Expected answer: Existing merchant usage has remained stable. Impact on approach: If confirmed, we'd focus our investigation on factors specifically affecting new merchant onboarding and adoption.
Why it matters: External market forces could be influencing merchant decisions. Expected answer: No major changes in the competitive landscape or pricing. Impact on approach: If confirmed, we'd prioritize internal factors in our investigation.
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