How can VA Corporation address the declining usage rates of its mobile prescription refill app among veterans aged 65 and older?

Introduction

The declining usage rates of VA Corporation's mobile prescription refill app among veterans aged 65 and older presents a critical challenge. This issue not only impacts the effectiveness of VA's healthcare services but also potentially affects the well-being of a vulnerable population. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause, considering both immediate fixes and long-term strategic implications.

Step 1

Clarifying Questions (3 minutes)

• Looking at the user demographic, I'm thinking there might be accessibility issues. Could you provide more details on the app's current accessibility features?

Why it matters: Accessibility directly impacts usability for older users. Expected answer: Limited accessibility features. Impact on approach: If confirmed, we'd prioritize accessibility improvements.

• Considering the timing, I wonder if there have been any recent updates to the app. Have there been any significant changes to the app's interface or functionality in the past 3-6 months?

Why it matters: Recent changes could explain the sudden decline in usage. Expected answer: A major update was released 4 months ago. Impact on approach: We'd focus on analyzing the impact of these changes.

• Thinking about user behavior, I'm curious about the current refill process. What percentage of veterans in this age group are using alternative methods for prescription refills?

Why it matters: Understanding alternative methods helps identify potential pain points. Expected answer: About 60% are using phone or in-person refills. Impact on approach: We'd investigate why these methods are preferred over the app.

• Considering potential technical issues, I'm wondering about app performance. What's the current app crash rate and average load time for this user segment?

Why it matters: Poor performance could be driving users away. Expected answer: Crash rate is 5%, load time averages 8 seconds. Impact on approach: If these metrics are high, we'd prioritize technical optimizations.