Introduction
The recent 8% drop in Ozow's EFT payment success rate over the past week is a critical issue that demands immediate attention. As we analyze this product challenge, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
Our analysis will follow a structured framework, beginning with clarifying questions to establish context, followed by a thorough examination of external factors, product understanding, metric breakdown, and data-driven hypothesis formation. We'll then conduct a root cause analysis, propose validation methods, and outline a comprehensive resolution plan.
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: System changes often correlate with performance fluctuations. Expected answer: Yes, there was a minor update to the payment gateway. Impact on approach: If confirmed, we'd focus on technical issues related to the update.
Why it matters: Segmented impact could point to specific user experience issues. Expected answer: The drop seems more pronounced among new users. Impact on approach: We'd investigate onboarding processes and new user journeys.
Why it matters: Metric definition changes can lead to apparent performance shifts. Expected answer: No changes to the metric definition. Impact on approach: We'd focus on actual performance issues rather than measurement anomalies.
Why it matters: External shifts can impact user behavior and system performance. Expected answer: No major external changes noted. Impact on approach: We'd prioritize internal factors in our investigation.
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