Introduction
Self Financial's mobile app has experienced a sudden 30% increase in crash rates for iOS users in the past week. This significant spike in crashes poses a critical issue that requires immediate attention and a systematic approach to identify and address the root cause. I'll analyze this problem using a structured framework that covers issue identification, hypothesis generation, validation, and solution development.
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 updates often introduce bugs or compatibility issues. Expected answer: Yes, there was an update released 10 days ago. Impact on approach: If confirmed, we'd focus on changes in that update.
Why it matters: iOS version-specific issues can indicate compatibility problems. Expected answer: Crashes are more prevalent on iOS 15 and above. Impact on approach: We'd investigate iOS 15+ specific changes or features.
Why it matters: Different crash rates among user segments could point to onboarding or first-time use issues. Expected answer: New users have a 50% higher crash rate. Impact on approach: We'd focus on new user flows and first-time experiences.
Why it matters: Backend changes can sometimes cause unexpected client-side issues. Expected answer: A new API version was rolled out two weeks ago. Impact on approach: We'd investigate the interaction between the new API and the iOS app.
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