Introduction
The sudden 30% drop in Flixbus mobile app installations over the last 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 and long-term implications for the product.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product ecosystem, user journey, and relevant metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.
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, there was an update. Impact on approach: If yes, we'll focus on the update's impact; if no, we'll look at other factors.
Why it matters: Helps identify if the issue is global or specific to certain users. Expected answer: The drop varies across segments. Impact on approach: If varied, we'll focus on affected segments; if uniform, we'll look at broader issues.
Why it matters: Rules out normal seasonal fluctuations. Expected answer: This drop is abnormal for the season. Impact on approach: If seasonal, we'll consider cyclical factors; if not, we'll focus on recent changes.
Why it matters: External factors can significantly impact app installations. Expected answer: No major changes in app store policies. Impact on approach: If yes, we'll investigate app store factors; if no, we'll focus more on internal issues.
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