Introduction
The sudden 30% increase in failed transactions for Gojek Tech's GoFood delivery service during peak lunch hours yesterday is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
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 the system was overwhelmed by unexpected demand. Expected answer: Yes, there was a 40% increase in order volume. Impact on approach: If confirmed, we'd focus on scaling infrastructure and load balancing.
Why it matters: Pinpoints specific technical issues causing the failures. Expected answer: There's been a spike in timeout errors. Impact on approach: If true, we'd investigate network issues or database performance.
Why it matters: Identifies potential issues on the supply side. Expected answer: No significant changes observed in restaurant metrics. Impact on approach: If confirmed, we'd shift focus to our internal systems rather than partner issues.
Why it matters: Helps isolate if a recent change is causing the issue. Expected answer: A new payment gateway was integrated two days ago. Impact on approach: If true, we'd prioritize investigating the new integration and its impact on transaction processing.
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