Introduction
The sudden 50% increase in bid request latency for MadHive's programmatic buying system 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 implications for the platform's performance and user experience.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Pinpoints the timeframe for investigating recent changes. Expected answer: Within the last week or two. Impact on approach: Narrows the scope of potential causes to recent events.
Why it matters: Helps determine if it's a system-wide issue or specific to certain user groups. Expected answer: Affects most advertisers, but some more than others. Impact on approach: Guides whether to focus on global system issues or segment-specific problems.
Why it matters: Could indicate if the system is struggling with increased load. Expected answer: Slight increase, but not proportional to latency spike. Impact on approach: If volume hasn't changed significantly, we'd focus more on internal system issues.
Why it matters: Identifies potential internal causes related to recent changes. Expected answer: Minor update to bidding algorithm last week. Impact on approach: Would prompt a deep dive into the recent update's impact.
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