Why has Hinge Health's digital physical therapy program seen a 15% drop in daily active users over the past month?

Introduction

The recent 15% drop in daily active users for Hinge Health's digital physical therapy program 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 and long-term implications for the product.

Step 1

Clarifying Questions (3 minutes)

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

Why it matters: Seasonal patterns could explain temporary fluctuations. Expected answer: No clear seasonal pattern identified. Impact on approach: If seasonal, we'd focus on retention strategies during low periods.

• Considering user segments, I'm curious if this drop is uniform across all user groups. Have you noticed any particular demographic or user type more affected than others?

Why it matters: Identifying specific affected groups could pinpoint targeted issues. Expected answer: The drop is more pronounced among newer users. Impact on approach: We'd focus on onboarding and early engagement strategies.

• Thinking about recent changes, have there been any significant updates to the app or program structure in the past 1-2 months?

Why it matters: Recent changes could directly impact user engagement. Expected answer: A new exercise tracking feature was implemented. Impact on approach: We'd investigate the new feature's usability and impact on user experience.

• Regarding performance metrics, has there been any change in how daily active users are measured or in the systems tracking this data?

Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: No changes in measurement or tracking systems. Impact on approach: Confirms the issue is with user behavior, not data collection.