Introduction
The sudden 30% drop in daily active users for GoMetro's route planning feature over the past week 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.
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 sudden metric shifts. Expected answer: Yes, a minor UI update was released. Impact on approach: If yes, we'd focus on the update's impact; if no, we'd look at external factors.
Why it matters: Helps identify if it's a global issue or specific to certain users. Expected answer: The drop is more pronounced among casual users. Impact on approach: Segmented data would guide our investigation and solution design.
Why it matters: External changes could explain user behavior shifts. Expected answer: No major changes reported. Impact on approach: If yes, we'd consider adapting our feature; if no, we'd focus more on internal factors.
Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes in measurement. Impact on approach: If changed, we'd need to reassess the problem definition; if not, we proceed with our current understanding.
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