Introduction
Smarsh's Enterprise Archive, a critical data management solution, has experienced a concerning 15% drop in data ingestion rates over the past month. This decline directly impacts the product's core functionality and could have significant implications for customer satisfaction and regulatory compliance. I'll approach this issue systematically, focusing on identifying the root cause, validating hypotheses, and developing both immediate and long-term solutions.
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 have unintended consequences on performance. Expected answer: Yes, there was a recent update to the ingestion pipeline. Impact on approach: If confirmed, we'd focus on rollback options and code review.
Why it matters: Changes in data composition could affect ingestion rates. Expected answer: No significant changes in data types or sources. Impact on approach: If unchanged, we'd look more closely at internal system issues.
Why it matters: The pattern of decline can indicate whether it's a gradual issue or a sudden event. Expected answer: The drop occurred suddenly about three weeks ago. Impact on approach: A sudden drop would suggest a specific triggering event to investigate.
Why it matters: External factors could influence how customers use the product. Expected answer: No significant regulatory changes in the past month. Impact on approach: If confirmed, we'd focus more on internal factors and user behavior.
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