Introduction
The sudden spike in failed identity verifications for Early Warning's Account Validation service 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 fixes 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's user journey and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose a comprehensive resolution plan.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: System changes often correlate with performance issues. Expected answer: Yes, there was a minor update. Impact on approach: If yes, I'd focus on the update's impact; if no, I'd look at external factors.
Why it matters: Helps narrow down potential causes and affected areas. Expected answer: The spike is more pronounced in mobile users. Impact on approach: If segmented, I'd investigate that specific user group; if universal, I'd look at core system issues.
Why it matters: Pinpoints the exact part of the system to investigate. Expected answer: Failures are occurring at the data matching stage. Impact on approach: This would guide where to focus our technical investigation.
Why it matters: Data quality is crucial for identity verification. Expected answer: No reported issues with data providers. Impact on approach: If yes, I'd investigate data quality; if no, I'd focus on internal processing.
Why it matters: Performance under load can cause unexpected issues. Expected answer: There was a 20% increase in traffic last week. Impact on approach: If yes, I'd look at scaling and performance; if no, I'd focus on other internal factors.
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