Introduction
The sudden 35% decrease in daily active users for AppsFlyer's SDK in the past week 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 strategic implications.
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'd focus on the update's contents and rollout process.
Why it matters: Helps identify if the issue is global or specific to certain app types. Expected answer: The decrease varies across categories. Impact on approach: If varied, we'd prioritize investigating the most affected categories.
Why it matters: Integration issues could lead to widespread adoption problems. Expected answer: No recent changes to documentation. Impact on approach: If yes, we'd examine the changes and their potential impact on integration.
Why it matters: Platform policy changes can significantly impact SDK adoption and usage. Expected answer: No major policy changes. Impact on approach: If yes, we'd analyze the policy changes and their potential effects on our SDK.
Why it matters: Ensures we're not chasing a phantom problem due to faulty data. Expected answer: No known issues with analytics. Impact on approach: If yes, we'd first validate our data collection and reporting systems.
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