Introduction
The recent 15% drop in daily active users for Headspace's Sleep Stories feature over the past month is a concerning trend that requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.
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 year-over-year comparisons.
Why it matters: Identifies whether it's a global issue or specific to certain users. Expected answer: The drop is more pronounced in newer users. Impact on approach: We'd investigate onboarding and early user experience.
Why it matters: Recent changes could directly impact user behavior. Expected answer: A minor UI update was implemented. Impact on approach: We'd scrutinize the impact of the UI changes.
Why it matters: Ensures we're not dealing with a data anomaly. Expected answer: No changes in measurement or reporting. Impact on approach: If changed, we'd need to recalibrate our analysis.
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