Introduction
The recent 30-second increase in Onfido's facial biometric check processing time is a critical issue that demands immediate attention. This analysis will systematically investigate the root cause, considering both internal and external factors that could be contributing to this performance degradation. We'll follow a structured approach to identify, validate, and address the underlying issues while keeping in mind 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: System changes often correlate with performance shifts. Expected answer: Yes, there was a recent update. Impact on approach: If confirmed, we'd focus on the update's impact and potential rollback options.
Why it matters: Segmentation could reveal specific technical or environmental factors. Expected answer: The slowdown varies across different user segments. Impact on approach: We'd prioritize investigating the most affected segments and potential device-specific issues.
Why it matters: User behavior changes could impact processing complexity. Expected answer: There's been an increase in low-light or non-ideal capture conditions. Impact on approach: We'd focus on improving image preprocessing or user guidance for optimal captures.
Why it matters: Increased load could strain system resources and slow processing. Expected answer: Yes, there's been a 20% increase in daily check volume. Impact on approach: We'd investigate scaling solutions and potential bottlenecks in our processing pipeline.
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