Introduction
The recent 15% drop in Healthcare.gov enrollment flow completion rates is 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 for Ad Hoc's Healthcare.gov platform.
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 explain the fluctuation and inform our solution approach. Expected answer: The drop occurred outside of typical enrollment periods. Impact on approach: If seasonal, we'd focus on optimizing for peak periods; if not, we'd investigate recent changes.
Why it matters: Different user behaviors could point to specific pain points in the enrollment flow. Expected answer: The drop is more pronounced among new users. Impact on approach: If new users are more affected, we'd focus on onboarding and first-time user experience.
Why it matters: Recent changes could directly correlate with the drop in completion rates. Expected answer: A minor update was made to the identity verification step. Impact on approach: If changes were made, we'd prioritize investigating those specific areas first.
Why it matters: Ensures we're addressing a real issue and not a reporting anomaly. Expected answer: No changes in measurement or reporting methods. Impact on approach: If measurement changed, we'd need to reassess the actual impact before proceeding.
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