Introduction
The recent 15% drop in daily active users for Clari's Revenue Collaboration platform is a significant concern that requires immediate attention and a thorough root cause analysis. As we delve into this issue, we'll systematically examine potential factors, generate data-driven hypotheses, and develop a comprehensive plan to address the underlying causes and restore user engagement.
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 fluctuations could explain temporary dips in usage. Expected answer: No clear seasonal pattern identified. Impact on approach: If seasonal, we'd focus on year-over-year comparisons and cyclical strategies.
Why it matters: Identifying specific affected segments could pinpoint targeted issues. Expected answer: Sales representatives show a higher drop-off rate. Impact on approach: We'd prioritize investigating sales rep-specific features and workflows.
Why it matters: Recent changes could directly correlate with the usage drop. Expected answer: A new forecasting feature was rolled out 6 weeks ago. Impact on approach: We'd focus on the new feature's impact and user adoption rates.
Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement methodology. Impact on approach: Confirms the issue is with actual usage, not data collection.
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