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Product Management Root Cause Analysis Question: Investigating Headspace Sleep Stories feature daily active user decline

Why has the daily active user count for Headspace's Sleep Stories feature dropped by 15% over the past month?

Data Analysis Problem-Solving User Behavior Understanding Health & Wellness Mobile Apps Consumer Technology
User Engagement Product Analytics Root Cause Analysis Mobile Apps Meditation

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)

  • Looking at the timing, I'm thinking there might be seasonal factors at play. Has this drop coincided with any particular season or holiday period?

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.

  • Considering user segments, I'm curious about the distribution of this drop. Is the 15% decrease uniform across all user groups, or are certain segments more affected?

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.

  • Thinking about recent changes, have there been any updates to the Sleep Stories feature or related parts of the app in the last 1-2 months?

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.

  • Regarding data integrity, has there been any change in how daily active users are measured or reported?

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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