How did Capital Rx's medication adherence rates for chronic condition patients decline by 10% compared to the previous year?

Introduction

Capital Rx's 10% decline in medication adherence rates for chronic condition patients is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the company's product strategy.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal component. Has this decline been observed consistently throughout the year, or is it concentrated in specific months?

Why it matters: Seasonal patterns could indicate external factors affecting adherence. Expected answer: The decline has been consistent across months. Impact on approach: If seasonal, we'd focus on time-specific interventions; if consistent, we'd look at systemic issues.

• Considering user segments, I'm wondering if this decline is uniform across all chronic conditions. Are there specific conditions showing a more significant drop in adherence?

Why it matters: Identifying affected segments helps narrow down potential causes. Expected answer: The decline is more pronounced in certain conditions, like diabetes or hypertension. Impact on approach: We'd prioritize investigating factors specific to the most affected conditions.

• Thinking about recent changes, have there been any significant updates to the medication management system or user interface in the past year?

Why it matters: Product changes could directly impact user behavior and adherence. Expected answer: A new mobile app was launched six months ago. Impact on approach: We'd focus on analyzing the app's usability and its impact on adherence behaviors.

• Considering data integrity, has there been any change in how adherence is measured or reported compared to the previous year?

Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: No changes in measurement methodology. Impact on approach: If changed, we'd need to recalibrate our analysis; if not, we can proceed with current data.