Introduction
The recent 20% drop in average session length for Improbable's SpatialOS users over the past month is a concerning trend that requires immediate attention. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address this critical issue.
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: Recent changes could directly impact user behavior. Expected answer: Yes, a major update was released. Impact on approach: If yes, we'd focus on the update's features and potential issues.
Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The drop varies across segments. Impact on approach: If varied, we'd prioritize investigating the most affected segments.
Why it matters: External events could influence user behavior. Expected answer: No significant industry changes. Impact on approach: If yes, we'd consider how these changes might be affecting our users.
Why it matters: Ensures we're dealing with a real issue, not a measurement anomaly. Expected answer: No changes in measurement. Impact on approach: If changed, we'd need to reassess the validity of the reported drop.
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