Why has Clipboard Health's shift fill rate dropped by 15% for nursing assignments in the past month?

Introduction

The recent 15% drop in Clipboard Health's shift fill rate for nursing assignments is a critical issue that demands immediate attention. This decline directly impacts our core business model and could have far-reaching consequences if not addressed promptly. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal component. Has this drop coincided with any particular time of year or event?

Why it matters: Seasonal patterns could explain temporary fluctuations. Expected answer: No significant seasonal correlation. Impact on approach: If seasonal, we'd focus on annual planning; if not, we'd look at recent changes.

• Considering user segments, I'm curious about the distribution of this drop. Is the 15% decrease uniform across all types of nursing assignments or concentrated in specific areas?

Why it matters: Helps pinpoint if the issue is global or localized to certain segments. Expected answer: Varied impact across different nursing specialties. Impact on approach: Targeted solutions for affected segments vs. system-wide changes.

• Thinking about recent changes, have there been any significant updates to the platform or policies in the last 1-2 months?

Why it matters: Recent changes often correlate with performance shifts. Expected answer: A few minor updates, nothing major. Impact on approach: Focus on recent changes if present, or look at external factors if not.

• Regarding competitive landscape, have there been any notable moves by competitors or new entrants in the market recently?

Why it matters: External market forces could be drawing nurses away. Expected answer: Some increased activity, but nothing dramatic. Impact on approach: Competitive analysis if market shifts are significant, internal focus if not.

• Considering data integrity, has there been any change in how we measure or define shift fill rate?

Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes to measurement methodology. Impact on approach: If changed, we'd need to recalibrate our analysis; if not, we can trust the data as presented.