Why has Aledade's Annual Wellness Visit completion rate dropped by 15% in the last quarter?

Introduction

The recent 15% drop in Aledade's Annual Wellness Visit (AWV) completion rate is a critical issue that demands immediate attention. As we analyze this product challenge, we'll employ a systematic framework to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

Our approach will involve a thorough examination of internal and external factors, data analysis, hypothesis generation, and validation. We'll conclude with a comprehensive plan to resolve the issue and prevent future occurrences.

Step 1

Clarifying Questions (3 minutes)

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

Why it matters: Seasonal patterns could explain cyclical changes in AWV completion rates. Expected answer: The drop occurred during summer months. Impact on approach: If seasonal, we'd need to compare year-over-year data and adjust our strategy accordingly.

• Considering user segments, I'm curious about the demographics affected. Has the drop been uniform across all patient age groups or more pronounced in certain segments?

Why it matters: Different age groups may have varying reasons for not completing AWVs. Expected answer: The drop is more significant in patients over 65. Impact on approach: We'd focus on understanding barriers specific to older patients.

• Thinking about recent changes, have there been any updates to the AWV process or Aledade's platform in the last quarter?

Why it matters: Product or process changes could directly impact completion rates. Expected answer: A new user interface for scheduling AWVs was implemented. Impact on approach: We'd investigate the usability and adoption of the new interface.

• Regarding performance metrics, has the definition of "completion rate" remained consistent, and are we confident in the accuracy of our measurement systems?

Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: The definition and measurement systems have remained consistent. Impact on approach: If inconsistent, we'd need to audit our data collection and reporting processes first.