Introduction
The sudden 30% drop in successful bill payments on Paga over the last week is a critical issue that demands immediate attention. This significant decline in a core product metric could have far-reaching implications for user satisfaction, revenue, and overall business performance. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.
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: Recent changes could directly correlate with the drop in successful payments. Expected answer: Yes, a minor UI update was implemented. Impact on approach: If confirmed, I'd focus on UI-related hypotheses and user experience issues.
Why it matters: Patterns in the decline could point to specific issues or user behaviors. Expected answer: The decline has been relatively consistent. Impact on approach: A consistent decline might indicate a systemic issue rather than an isolated incident.
Why it matters: Segmented impact could reveal targeted issues or user-specific problems. Expected answer: The decline is more significant among older users. Impact on approach: I'd focus on accessibility and usability issues that might disproportionately affect older users.
Why it matters: External changes could influence user behavior or system functionality. Expected answer: No major external changes noted. Impact on approach: I'd focus more on internal factors and user experience issues.
Why it matters: Backend changes could impact payment success rates without being immediately apparent. Expected answer: A new payment gateway was integrated two weeks ago. Impact on approach: I'd prioritize technical hypotheses related to payment processing and integration issues.
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