Introduction
Kaiser Permanente's online appointment scheduling system has experienced a significant 30% drop in usage over the past month. This decline in a critical patient-facing feature requires immediate attention and a thorough root cause analysis. I'll approach this issue systematically, examining both internal and external factors that could contribute to this sudden decrease in engagement.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes could directly impact user behavior. Expected answer: Yes, there was a UI refresh about 6 weeks ago. Impact on approach: If confirmed, we'd focus on usability issues in the new design.
Why it matters: Helps identify if the issue is universal or specific to certain user groups. Expected answer: The decrease is more pronounced among older patients. Impact on approach: We'd investigate accessibility issues and potentially consider a segmented solution.
Why it matters: Technical problems could be driving users away from the online system. Expected answer: There have been intermittent slowdowns reported. Impact on approach: We'd prioritize backend performance optimization in our solution.
Why it matters: Policy changes could influence how and when patients schedule appointments. Expected answer: No significant policy changes have been implemented recently. Impact on approach: We'd focus more on the system itself rather than policy-related factors.
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