Introduction
Exxat's clinical placement matching feature has experienced a 20% drop in successful placements over the last quarter, signaling a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
Framework overview
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 variations could explain the drop and influence our solution approach. Expected answer: Yes, it's been compared and the drop is still significant. Impact on approach: If seasonal, we'd focus on optimizing for cyclical demand.
Why it matters: Identifying specific affected segments could point to targeted issues. Expected answer: The drop is more pronounced in rural placements and certain specialties like pediatrics. Impact on approach: We'd prioritize investigating and addressing issues specific to these segments.
Why it matters: Recent changes could directly impact the matching success rate. Expected answer: A minor UI update was implemented, but no algorithm changes. Impact on approach: We'd scrutinize the UI changes and their potential impact on user behavior.
Why it matters: Changes in facility participation could affect matching opportunities. Expected answer: There's been a slight decrease in new facility sign-ups. Impact on approach: We'd investigate reasons for decreased facility engagement and its impact on placements.
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