Introduction
The sudden 40% increase in crash rates for Ovo's mobile app this week is a critical issue that demands immediate attention. As we delve into this product root cause analysis, we'll systematically investigate potential factors contributing to this performance decline. Our approach will involve clarifying the context, examining both internal and external factors, and developing data-driven hypotheses to identify the root cause.
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 released. Impact on approach: If confirmed, we'd focus on changes in the latest release.
Why it matters: Helps narrow down potential causes and affected areas. Expected answer: The issue is more prevalent in certain user segments. Impact on approach: We'd prioritize investigating those specific segments.
Why it matters: Ensures we're dealing with a real issue, not a measurement anomaly. Expected answer: No changes to monitoring systems. Impact on approach: If confirmed, we'd focus on actual app performance issues.
Why it matters: External tech changes can impact app performance. Expected answer: Some users have updated to a new OS version. Impact on approach: We'd investigate compatibility issues with the new OS.
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