How can we explain the sudden 30% increase in last-minute shift cancellations by IntelyCare nurses in the past two weeks?

Introduction

The sudden 30% increase in last-minute shift cancellations by IntelyCare nurses over the past two weeks is a critical issue that demands immediate attention. This unexpected spike could significantly impact patient care, hospital operations, and nurse satisfaction. 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. I'll then rule out basic external factors before diving deep into product understanding, metric breakdown, and data-driven hypothesis formation. Through rigorous root cause analysis and validation, we'll develop a comprehensive resolution plan that addresses immediate concerns and prevents future occurrences.

Step 1

Clarifying Questions (3 minutes)

• Given the sudden nature of the increase, I'm wondering about recent changes. Have there been any updates to the IntelyCare app or scheduling system in the past month?

Why it matters: Recent changes could directly impact nurse behavior or system functionality. Expected answer: Yes, a minor update was released three weeks ago. Impact on approach: If confirmed, we'd prioritize investigating the update's impact on shift management.

• Considering the specificity of "last-minute" cancellations, how exactly is this metric defined in your system?

Why it matters: Understanding the precise definition helps identify potential loopholes or misinterpretations. Expected answer: Cancellations within 4 hours of shift start. Impact on approach: This would guide our data analysis and help pinpoint specific timeframes to investigate.

• Looking at user segments, are these cancellations concentrated among specific nurse demographics or shift types?

Why it matters: Patterns in affected groups could reveal underlying causes. Expected answer: Higher rates among newer nurses and night shifts. Impact on approach: We'd focus on onboarding processes and night shift conditions in our analysis.

• Considering external factors, have there been any significant changes in local healthcare policies or competing platforms' offerings recently?

Why it matters: External pressures could be influencing nurse behavior. Expected answer: No major policy changes, but a competitor launched a new incentive program. Impact on approach: We'd investigate the competitor's offering and consider our market positioning.