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Company focus

Netsmart

How can we explain the sudden 30% decrease in daily active users for Netsmart's myAvatar EHR system in the behavioral health sector last week?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Healthcare Domain Knowledge Healthcare IT Behavioral Health Electronic Health Records Product Analytics User Retention Root Cause Analysis Healthcare IT EHR Systems
Product Management Root Cause Analysis Question: Investigating sudden decrease in EHR system daily active users

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.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

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 change or update to the myAvatar EHR system in the past two weeks?

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.

  • Considering the scale of the decrease, I'm wondering about potential data anomalies. Can we confirm that the 30% decrease is consistent across all user segments and geographies?

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.

  • Given the nature of behavioral health services, I'm curious about any recent regulatory changes. Have there been any new compliance requirements or policy changes in the behavioral health sector recently?

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.

  • Considering the possibility of technical issues, I'm wondering about system performance. Have there been any reported increases in system errors, downtime, or slow response times in the past week?

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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Updated Jan 22, 2025