Introduction
The 15% drop in new patient onboarding for Athelas's remote patient monitoring service this quarter is a critical issue that demands immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.
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 fluctuations in patient onboarding. Expected answer: Yes, it's been compared and the drop is still significant. Impact on approach: If seasonal, we'd focus on year-over-year trends rather than quarter-over-quarter.
Why it matters: Changes in metric definition could lead to misinterpretation of data. Expected answer: The definition has remained consistent. Impact on approach: If changed, we'd need to recalculate using a consistent definition.
Why it matters: UI/UX changes could significantly impact user behavior during onboarding. Expected answer: There were minor UI updates two months ago. Impact on approach: We'd need to closely examine the impact of these changes on user engagement.
Why it matters: Changes in marketing or target audience could affect the type and volume of new patients. Expected answer: Marketing strategies have remained consistent. Impact on approach: If changed, we'd need to analyze the effectiveness of new marketing approaches.
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