Introduction
The sudden 30% increase in data egress costs for Wasabi's enterprise clients 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 our product and business.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product, user journey, and relevant metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose a structured plan for validation and resolution.
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 sudden metric shifts. Expected answer: Yes, we launched a new data replication feature. Impact on approach: If true, I'd focus on analyzing the new feature's impact on data egress.
Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes in measurement methods. Impact on approach: If there were changes, we'd need to validate the new measurement system first.
Why it matters: Enterprise clients can significantly impact metrics due to their scale. Expected answer: A few new large clients onboarded last month. Impact on approach: If true, I'd analyze these new clients' usage patterns separately.
Why it matters: External market factors can drive changes in client behavior. Expected answer: No recent pricing changes, but a competitor launched a new feature. Impact on approach: If true, I'd investigate how this competitive change might be affecting our clients' usage.
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