Introduction
The sudden increase in cancellation rates for Triage Staffing's allied health professional assignments is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the business.
I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product ecosystem, user journey, and metric breakdown. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose validation methods and 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: Recent changes could directly impact cancellation rates. Expected answer: Yes, we implemented a new automated assignment system. Impact on approach: If true, I'd focus on system usability and potential bugs.
Why it matters: Helps identify if the issue is systemic or specific to certain user groups. Expected answer: The increase is more pronounced among physical therapists and occupational therapists. Impact on approach: I'd investigate factors specific to these specialties if this is the case.
Why it matters: Ensures we're comparing apples to apples in our data analysis. Expected answer: No changes in the definition or tracking method. Impact on approach: If there were changes, I'd need to adjust our historical comparisons.
Why it matters: External regulatory factors could significantly impact cancellation rates. Expected answer: There have been some discussions about new licensing requirements, but nothing implemented yet. Impact on approach: If regulatory changes are looming, I'd consider how anticipation of these changes might be affecting behavior.
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