Why has Medable's patient recruitment feature seen a 30% drop in user engagement over the past month?

Introduction

Medable's patient recruitment feature has experienced a 30% drop in user engagement over the past month, signaling a critical issue that demands immediate attention. To address this problem, 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.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal effect. Has this 30% drop been compared to the same period last year?

Why it matters: Seasonal trends could explain engagement fluctuations. Expected answer: No significant seasonal pattern observed. Impact on approach: If seasonal, we'd focus on adapting to cyclical trends.

• Considering user segments, I'm curious about the distribution of the drop. Is the 30% decrease uniform across all user types or concentrated in specific groups?

Why it matters: Helps pinpoint if the issue is global or segment-specific. Expected answer: The drop is more pronounced in certain user segments. Impact on approach: We'd tailor solutions to the most affected segments.

• Thinking about recent changes, have there been any updates to the patient recruitment feature in the last 1-2 months?

Why it matters: Recent changes could directly impact user engagement. Expected answer: A minor update was rolled out three weeks ago. Impact on approach: We'd scrutinize the update for potential issues.

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

Why it matters: Ensures we're dealing with a real issue, not a measurement anomaly. Expected answer: No changes in measurement methodology. Impact on approach: Confirms we need to look at actual engagement factors.