Introduction
The recent 15% decline in active users for Splunk Cloud over the past month is a significant issue that requires immediate attention and a thorough root cause analysis. As we delve into this problem, we'll systematically examine potential factors, generate data-driven hypotheses, and develop a comprehensive plan to address the underlying causes and prevent future occurrences.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal patterns could explain temporary fluctuations. Expected answer: No significant seasonal correlation. Impact on approach: If seasonal, we'd focus on cyclical user engagement strategies.
Why it matters: Identifies whether the issue is global or segment-specific. Expected answer: Enterprise users more affected than SMBs. Impact on approach: Tailor solutions to specific user segments if disparities exist.
Why it matters: Recent changes could directly impact user engagement. Expected answer: Minor feature update, no pricing changes. Impact on approach: Investigate if the update correlates with the decline.
Why it matters: Competitive actions could influence user churn. Expected answer: One competitor launched a new feature. Impact on approach: Analyze competitive positioning and feature parity.
Why it matters: Ensures the decline is real and not a measurement artifact. Expected answer: No changes in measurement methodology. Impact on approach: If changed, recalibrate analysis based on consistent metrics.
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