Why has Nursa's shift booking feature seen a 30% drop in usage over the past month?

Introduction

The recent 30% drop in Nursa's shift booking feature usage is a critical issue that demands immediate attention. As we delve into this problem, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal component. Has this 30% drop been compared to the same period last year?

Why it matters: Seasonal fluctuations could explain the shift in usage. Expected answer: No significant seasonal pattern observed in previous years. Impact on approach: If seasonal, we'd focus on adapting to cyclical demand; if not, we'd investigate other factors.

• Considering user segments, I'm curious about the distribution of the drop. Is the 30% decrease uniform across all user types, or is it more pronounced in specific segments?

Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: The drop is more significant among occasional users. Impact on approach: If segment-specific, we'd tailor solutions to that group; if uniform, we'd look at system-wide factors.

• Thinking about recent changes, have there been any updates to the shift booking feature or related systems in the past month?

Why it matters: Recent changes could be directly linked to the usage drop. Expected answer: A minor UI update was implemented three weeks ago. Impact on approach: If changes coincide with the drop, we'd scrutinize those specific updates; if not, we'd broaden our investigation.

• Considering external factors, has there been any significant change in the healthcare staffing market or regulations that might affect shift demand?

Why it matters: External market forces could be influencing user behavior. Expected answer: No major market changes, but a new competitor entered the space. Impact on approach: If market-driven, we'd focus on competitive analysis; if not, we'd prioritize internal factors.