Introduction
Amazon Pay's 96-hour refund delay is a critical issue affecting customer satisfaction and trust in the payment system. This analysis will systematically identify, validate, and address the root cause while considering both immediate and long-term implications for the product and its users.
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: Helps determine if this is a new issue or a long-standing problem. Expected answer: It's a recent change from a previous 24-48 hour window. Impact on approach: If recent, we'd focus on recent system changes or policy updates.
Why it matters: Identifies if the issue is universal or specific to certain transaction categories. Expected answer: It affects all refunds regardless of type or amount. Impact on approach: If universal, we'd look at core system issues rather than specific transaction handling.
Why it matters: Gauges the severity of the issue from a customer perspective. Expected answer: Yes, there's been a significant increase in complaints. Impact on approach: High complaint volume would prioritize this issue for immediate resolution.
Why it matters: Helps identify potential technical causes for the delay. Expected answer: A new fraud detection system was implemented recently. Impact on approach: Would focus on examining the new system's impact on refund processing.
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