Introduction
The sudden increase in error rates for Zapper's token swap functionality is a critical issue that demands immediate attention. As we delve into this problem, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term implications for our product ecosystem.
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 often correlate with performance issues. Expected answer: Yes, a new version was deployed last Thursday. Impact on approach: If confirmed, we'd focus on changes in that deployment.
Why it matters: Helps quantify the severity and urgency of the issue. Expected answer: Error rates have increased by 30% over the past three days. Impact on approach: A significant increase would prioritize immediate action.
Why it matters: Identifies if the issue is systemic or token-specific. Expected answer: Errors are more frequent with newer, less liquid tokens. Impact on approach: Token-specific issues might point to liquidity or integration problems.
Why it matters: Helps narrow down potential user-related factors. Expected answer: The issue is more prevalent among high-frequency traders. Impact on approach: User-specific problems might indicate UI/UX or capacity issues.
Why it matters: External factors can sometimes explain sudden performance changes. Expected answer: No major market events, but there's been a general uptick in trading volume. Impact on approach: High volume could suggest scaling or capacity issues.
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