Introduction
The increase in average time-to-fill for Aya Healthcare's allied health positions from 14 to 21 days since implementing the new applicant tracking system (ATS) is a critical issue that demands immediate attention. This metric directly impacts our ability to place healthcare professionals efficiently, affecting both our business performance and our ability to meet the needs of healthcare facilities. 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: This helps us determine if the ATS itself is the primary factor or if other changes coincided with its implementation. Expected answer: Yes, there have been changes in the workflow and interface. Impact on approach: If confirmed, we'll focus more on system-specific issues and user adaptation.
Why it matters: This will help us identify if the issue is systemic or specific to certain job categories. Expected answer: The increase varies across specialties, with some more affected than others. Impact on approach: If true, we'll investigate why certain specialties are more impacted and tailor our solutions accordingly.
Why it matters: This will help pinpoint which stage of the recruitment process is most affected. Expected answer: There's been a decrease in the number of applications received and an increase in screening time. Impact on approach: We'll focus on improving the application submission process and optimizing screening efficiency.
Why it matters: User experience issues could be contributing to the increased time-to-fill. Expected answer: Initial feedback indicates some frustration with the new system's learning curve. Impact on approach: We'll prioritize user training and system optimization based on feedback.
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