Introduction
The sudden spike in failed transactions for EvenUp's group expense tracking tool last Thursday is a critical issue that demands immediate attention and thorough analysis. 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 the product.
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 sudden performance issues. Expected answer: Yes, a new feature was deployed on Wednesday. Impact on approach: If confirmed, we'd focus on the new feature and its integration.
Why it matters: Unusual activity could indicate a capacity issue or a popular event triggering mass usage. Expected answer: Transaction volume was within normal range. Impact on approach: If normal, we'd shift focus from capacity issues to other potential causes.
Why it matters: Localized issues might point to regional infrastructure problems or specific user behaviors. Expected answer: The issue affected users across all segments and regions. Impact on approach: A widespread issue would suggest a core system problem rather than a localized one.
Why it matters: Changes in metric definition can sometimes create false alarms. Expected answer: No changes in the definition or measurement of failed transactions. Impact on approach: If confirmed, we'd focus on actual system issues rather than measurement anomalies.
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