Introduction
The sudden 30% drop in new patient registrations for Doctolib's online booking platform is a critical issue that demands immediate attention. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address the decline in user acquisition.
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 patterns could explain the fluctuation and inform our solution approach. Expected answer: No significant seasonal correlation identified. Impact on approach: If seasonal, we'd focus on cyclical strategies; if not, we'd investigate other factors more deeply.
Why it matters: Identifying affected segments helps pinpoint targeted solutions. Expected answer: The drop is more pronounced among younger users. Impact on approach: We'd tailor our investigation and solutions to the most affected user segments.
Why it matters: Recent changes could directly impact user behavior and registration rates. Expected answer: A new UI was implemented for the registration process. Impact on approach: We'd focus on analyzing the impact of the UI change on user experience and conversion.
Why it matters: External market forces could be drawing potential users away. Expected answer: A new competitor launched with aggressive promotions. Impact on approach: We'd need to assess our value proposition and potentially adjust our market positioning.
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