Why has the average engagement time with Sharecare's personalized health recommendations declined from 5 minutes to 3 minutes per session this quarter?

Introduction

The decline in average engagement time with Sharecare's personalized health recommendations from 5 minutes to 3 minutes per session this quarter is a concerning trend that requires immediate attention. This issue could significantly impact user satisfaction, health outcomes, and ultimately, our product's success. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

Step 1

Clarifying Questions (3 minutes)

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

Why it matters: Seasonal patterns could explain temporary engagement drops. Expected answer: No clear seasonal correlation. Impact on approach: If seasonal, we'd focus on cyclical engagement strategies.

• Considering user segments, I'm curious if this decline is uniform across all user groups. Have you noticed any particular demographic or health condition groups showing more significant drops in engagement?

Why it matters: Identifies if the issue is global or specific to certain users. Expected answer: The decline is relatively uniform across segments. Impact on approach: Uniform decline suggests a system-wide issue rather than targeted fixes.

• Thinking about recent changes, have there been any significant updates to the recommendation algorithm or UI in the past quarter?

Why it matters: Recent changes could directly impact user engagement. Expected answer: Minor UI tweaks, no major algorithm changes. Impact on approach: If recent changes correlate with the decline, we'd prioritize reverting or optimizing these updates.

• Regarding data integrity, has there been any change in how engagement time is measured or reported?

Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement methodology. Impact on approach: If measurement changed, we'd need to reassess our baseline metrics.