Introduction
The sudden 30% decrease in API calls for App Annie's Advertising Analytics platform this quarter 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 and business.
To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to provide a comprehensive analysis that not only pinpoints the cause of the API call decrease but also outlines actionable steps to resolve the issue and prevent similar occurrences in the future.
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 could directly impact API usage. Expected answer: Yes, there was a major update. Impact on approach: If yes, we'd focus on the changes made and their potential effects.
Why it matters: This helps identify if the issue is global or segment-specific. Expected answer: The decrease varies across segments. Impact on approach: If varied, we'd prioritize investigating the most affected segments.
Why it matters: Technical issues could be driving the decrease in successful calls. Expected answer: There has been an increase in error rates. Impact on approach: If yes, we'd focus on technical root causes and infrastructure issues.
Why it matters: External factors could be influencing client behavior. Expected answer: No major external changes. Impact on approach: If no, we'd focus more on internal factors and user behavior.
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