Introduction
The increase in average time-to-hire on Incredible Health's platform from 20 to 35 days over the past quarter is a significant shift that warrants thorough investigation. This analysis will systematically identify, validate, and address the root cause while considering both immediate and long-term implications for the platform's performance and user satisfaction.
To tackle this issue, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to uncover the underlying factors contributing to this increase and propose actionable strategies to improve the platform's efficiency.
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 trends could explain the increase and inform our approach. Expected answer: No significant seasonal patterns observed in previous years. Impact on approach: If seasonal, we'd focus on adapting to cyclical changes; if not, we'd investigate other factors.
Why it matters: Recent changes could directly impact the time-to-hire metric. Expected answer: A minor update to the candidate profile section was implemented. Impact on approach: If changes occurred, we'd investigate their specific effects on the hiring process.
Why it matters: Different job types may have varying hiring timelines. Expected answer: An increase in specialized nursing positions has been noted. Impact on approach: If job mix has changed, we'd analyze how different positions affect overall metrics.
Why it matters: External factors could influence employer behavior and hiring speed. Expected answer: No major market shifts, but ongoing healthcare worker shortages persist. Impact on approach: Market conditions would guide our focus on either internal optimizations or adapting to external pressures.
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