Introduction
The sudden 30% increase in chargebacks for international transactions processed through Paystack's API 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 Paystack's business and its customers.
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: Pinpointing the timeframe helps correlate the issue with potential triggers. Expected answer: Within the last month. Impact on approach: A sudden spike suggests a specific event or change, while a gradual increase might indicate a systemic issue.
Why it matters: Geographical patterns could point to region-specific issues or fraud trends. Expected answer: Higher increases in certain regions, e.g., Southeast Asia or Eastern Europe. Impact on approach: Focus on region-specific factors if localized, or global factors if widespread.
Why it matters: Technical changes could introduce vulnerabilities or processing errors. Expected answer: A minor API update was rolled out 6 weeks ago. Impact on approach: Investigate the specific changes and their potential impact on transaction processing.
Why it matters: Changes in user behavior could indicate external factors or new fraud patterns. Expected answer: A slight increase in high-value transactions. Impact on approach: Analyze the correlation between transaction characteristics and chargeback rates.
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