Why has Ascension's patient portal login rate dropped by 15% over the past month?

Introduction

The recent 15% drop in Ascension's patient portal login rate over the past month is a critical issue that demands immediate attention. This decline not only affects user engagement but could also impact patient care and overall healthcare delivery. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent system update. Has there been any significant changes to the patient portal in the last 1-2 months?

Why it matters: System changes often correlate with usage fluctuations. Expected answer: Yes, there was a UI refresh last month. Impact on approach: If confirmed, we'd focus on UI/UX issues in our analysis.

• Considering user segments, I'm curious about the distribution of the login drop. Is the 15% decrease uniform across all user groups, or are certain demographics more affected?

Why it matters: Helps identify if the issue is universal or specific to certain users. Expected answer: The drop is more pronounced among older users. Impact on approach: We'd prioritize accessibility and usability for older demographics.

• Given the healthcare context, I'm wondering about any recent policy changes. Have there been any new regulations or compliance requirements implemented recently?

Why it matters: Regulatory changes can significantly impact healthcare tech usage. Expected answer: No major policy changes in the last quarter. Impact on approach: We'd focus more on internal factors rather than external regulations.

• Thinking about potential technical issues, I'm concerned about system performance. Have there been any reported increases in page load times or error rates?

Why it matters: Technical performance directly affects user experience and engagement. Expected answer: Some users have reported slower load times. Impact on approach: We'd prioritize technical performance analysis in our investigation.