Introduction
The increase in average time to first shift for new healthcare professionals on Clipboard Health's platform from 5 to 8 days is a critical issue that demands immediate attention. This metric directly impacts our ability to connect healthcare facilities with qualified professionals efficiently, potentially affecting patient care and our platform's value proposition. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal patterns could indicate external factors rather than internal issues. Expected answer: The trend has been consistent over the past few months. Impact on approach: If seasonal, we'd focus on adapting to cyclical demands; if consistent, we'd dig deeper into internal processes.
Why it matters: Identifying specific affected groups could pinpoint targeted issues. Expected answer: The increase is more pronounced among newly graduated nurses. Impact on approach: We'd focus on onboarding and matching processes for new graduates if this is the case.
Why it matters: Recent changes could directly correlate with the metric shift. Expected answer: A new skills assessment was added to the onboarding process two months ago. Impact on approach: We'd evaluate the impact of this new step on time to first shift.
Why it matters: Market imbalances could explain longer matching times. Expected answer: There's been a slight increase in professionals signing up, but demand has remained stable. Impact on approach: We'd investigate if the increased supply is causing delays in matching or if our processes aren't scaling effectively.
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