Introduction
The sudden increase in failed payments for Rapyd's Disburse product in the APAC region is a critical issue that requires immediate attention and a systematic approach to identify and address the root cause. As we dive into this analysis, we'll follow a structured framework to uncover the underlying factors, validate our hypotheses, and develop both short-term solutions and long-term strategies to resolve the issue.
Our approach will involve clarifying the problem context, ruling out external factors, understanding the product and user journey, breaking down the relevant metrics, gathering and prioritizing data, forming and testing hypotheses, conducting a thorough root cause analysis, and finally, proposing a comprehensive resolution plan.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: System changes often correlate with performance issues. Expected answer: Yes, there was a recent update to comply with new regulations. Impact on approach: If confirmed, we'd focus on system-related hypotheses.
Why it matters: Helps determine if it's a region-wide issue or localized problem. Expected answer: The issue is more pronounced in Southeast Asian countries. Impact on approach: If localized, we'd investigate country-specific factors.
Why it matters: Unusual spikes in volume can strain systems and lead to failures. Expected answer: Transaction volumes have increased by 30% in the last month. Impact on approach: If confirmed, we'd explore scalability and capacity issues.
Why it matters: UI changes can impact user behavior and lead to errors. Expected answer: A new payment confirmation step was added last week. Impact on approach: If confirmed, we'd focus on user experience and interaction design.
Why it matters: Ensures we're not dealing with a measurement issue rather than an actual increase in failures. Expected answer: No changes to measurement systems or definitions. Impact on approach: If confirmed, we can rule out data anomalies and focus on actual payment failures.
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