Introduction
Rubrik's Polaris GPS for Office 365 experiencing a 20% higher error rate in the 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 the context, then ruling out external factors before diving deep into the product's user journey and metrics. We'll generate 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: Recent changes often correlate with performance issues. Expected answer: Yes, a minor update was pushed last week. Impact on approach: If true, we'd focus on the update's components and rollback considerations.
Why it matters: Helps narrow down if it's a global issue or specific to certain users. Expected answer: The increase is more pronounced in enterprise accounts. Impact on approach: We'd prioritize investigating enterprise-specific features or integrations.
Why it matters: External dependencies can significantly impact our product's performance. Expected answer: Microsoft released a minor update to their Graph API last week. Impact on approach: We'd need to investigate our integration points and potentially liaise with Microsoft.
Why it matters: Infrastructure problems can manifest as increased error rates. Expected answer: No significant infrastructure changes, but there was a minor outage in one data center. Impact on approach: We'd need to correlate the outage with the error rate spike and investigate potential lingering effects.
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