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Product Management Root Cause Analysis Question: Investigating Splunk Cloud's active user decline

Asked at Splunk

12 mins

Why has the number of active users for Splunk Cloud declined by 15% over the past month?

Data Analysis Problem-Solving Strategic Thinking Enterprise Software Cloud Computing IT Operations
User Retention Product Metrics Data Analytics Root Cause Analysis SaaS

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)

  • Looking at the timing, I'm thinking there might be a seasonal component. Has this decline coincided with any particular time of year or event?

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.

  • Considering user segments, I'm wondering if this decline is uniform across all user types. Have you noticed any particular user segments more affected than others?

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.

  • Thinking about recent changes, has there been any significant product updates or pricing changes in the last 1-2 months?

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.

  • Regarding competitive landscape, have there been any major moves from competitors recently?

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.

  • Considering data integrity, has there been any change in how active users are measured or tracked?

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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