Introduction
The sudden 30% increase in chargeback rates for DLocal's payment gateway services in Mexico over the past week is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for our product and business.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product ecosystem, user journey, and relevant metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and next steps.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, there was a minor update to the fraud detection algorithm. Impact on approach: If confirmed, I'd focus on the update's impact on legitimate transactions.
Why it matters: Sudden spikes can indicate coordinated fraud attempts or issues with new high-volume merchants. Expected answer: There's been a 15% increase in new merchant signups over the past month. Impact on approach: I'd investigate the chargeback rates specifically for these new merchants.
Why it matters: Local regulatory or infrastructure changes can significantly impact fintech operations. Expected answer: No major changes, but there's been some discussion about new fintech regulations. Impact on approach: I'd still consider potential pre-emptive actions by merchants or consumers.
Why it matters: Different payment methods may have distinct risk profiles or be affected differently by system changes. Expected answer: The increase is primarily seen in credit card transactions. Impact on approach: I'd focus on credit card-specific factors and potential issues in our credit card processing flow.
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