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Product Management Root Cause Analysis Question: Hospital bed tracking system adoption decrease among night staff
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Nextsprints

Updated Jan 22, 2025

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Why has user adoption of TeleTracking's BedTracking module decreased by 20% among night shift staff in the past 60 days?

Data Analysis Problem-Solving User Behavior Understanding Healthcare Hospital Management Health IT
Data Analysis Root Cause Analysis User Adoption Healthcare IT Night Shift Operations

Introduction

The recent 20% decrease in user adoption of TeleTracking's BedTracking module among night shift staff is a concerning trend that requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

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 be a recent change in the system. Has there been any update to the BedTracking module in the last 90 days?

Why it matters: Recent changes could directly impact user behavior. Expected answer: Yes, there was a minor update. Impact on approach: If yes, we'd focus on the update's impact; if no, we'd look at other factors.

  • Considering the specific user segment affected, I'm curious about staffing changes. Has there been any significant turnover or restructuring in the night shift staff recently?

Why it matters: New staff might struggle with adoption if not properly onboarded. Expected answer: Some turnover, but within normal ranges. Impact on approach: High turnover would lead us to focus on training and onboarding processes.

  • Given the specificity of the decrease, I'm wondering about our measurement accuracy. Have there been any changes to how we track or define user adoption in the past 60 days?

Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes to measurement methods. Impact on approach: If changed, we'd need to reassess our baseline metrics.

  • Considering potential external factors, have there been any policy changes in the hospitals using BedTracking that might affect night shift workflows?

Why it matters: External policy changes could indirectly impact our product usage. Expected answer: No major policy changes reported. Impact on approach: Significant changes would require us to adapt our product to new workflows.

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