Why has iRhythm's Zio XT patch seen a 15% decrease in successful wear time over the past month?

Introduction

The recent 15% decrease in successful wear time for iRhythm's Zio XT patch over the past month is a critical issue that demands immediate attention. This wearable ECG monitor's effectiveness hinges on consistent, long-term use, making wear time a key performance indicator. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term strategies to address the issue.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal factor. Has this decrease coincided with any particular weather changes or holiday periods?

Why it matters: Seasonal factors could explain temporary changes in user behavior. Expected answer: No significant seasonal changes noted. Impact on approach: If seasonal, we'd focus on user education and temporary adjustments.

• Considering user segments, I'm curious if this decrease is uniform across all user groups. Have you noticed any differences in wear time reduction between new and existing users?

Why it matters: Different root causes may apply to different user segments. Expected answer: The decrease is more pronounced in new users. Impact on approach: We'd prioritize onboarding and early user experience improvements.

• Thinking about recent changes, has there been any update to the patch itself or the accompanying software in the last 1-2 months?

Why it matters: Recent changes could directly impact wear time. Expected answer: A minor software update was released 6 weeks ago. Impact on approach: We'd scrutinize the update for unintended consequences.

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

Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes to measurement or reporting systems. Impact on approach: Confirms focus on actual wear time, not data discrepancies.