Introduction
The recent 15% 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, covering issue identification, hypothesis generation, validation, and solution development. This approach ensures we leave no stone unturned in our quest to restore and improve Ozow's EFT payment performance.
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 have unintended consequences on performance. Expected answer: Yes, there was a minor update to improve transaction speed. Impact on approach: If confirmed, we'd focus on regression testing and rollback options.
Why it matters: Segmentation could reveal targeted issues rather than system-wide problems. Expected answer: The drop seems more pronounced among new users. Impact on approach: We'd investigate onboarding processes and new user experience if confirmed.
Why it matters: Ensures we're comparing apples to apples and not chasing a data anomaly. Expected answer: No changes to the metric definition or measurement system. Impact on approach: If changed, we'd need to recalibrate our analysis based on the new definition.
Why it matters: External factors could explain the drop and require different solutions. Expected answer: No major external changes noted. Impact on approach: If external factors are involved, we'd need to adapt our product to new market conditions.
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