Introduction
The sudden 30% decrease in daily active users for Netsmart's myAvatar EHR system in the behavioral health sector last week is a critical issue that demands immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications.
My analysis will follow a structured framework, beginning with clarifying questions to gather essential context, followed by ruling out external factors, understanding the product and user journey, breaking down the metric, gathering and prioritizing data, forming hypotheses, conducting root cause analysis, and finally proposing validation methods and next steps.
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 often correlate with sudden metric shifts. Expected answer: Yes, there was a minor update to the user interface. Impact on approach: If confirmed, I'd focus on UI-related hypotheses.
Why it matters: Helps distinguish between localized issues and system-wide problems. Expected answer: The decrease is relatively uniform across segments. Impact on approach: If uniform, I'd look for system-wide causes; if not, I'd focus on affected segments.
Why it matters: Regulatory changes can significantly impact EHR usage patterns. Expected answer: No major regulatory changes in the past month. Impact on approach: If no changes, I'd focus more on internal factors and user behavior.
Why it matters: Technical issues often lead to decreased user engagement. Expected answer: Some users have reported slower response times. Impact on approach: If confirmed, I'd prioritize technical hypotheses and performance optimization.
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