Introduction
The recent 25% increase in average time spent by doctors using Doctolib's practice management software is a significant shift that warrants thorough investigation. This analysis will systematically explore potential root causes, generate data-driven hypotheses, and propose actionable solutions to address this unexpected change in user behavior.
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 temporary changes in usage. Expected answer: No significant seasonal correlation identified. Impact on approach: If seasonal, we'd focus on cyclical adaptations; if not, we'd investigate more systemic issues.
Why it matters: Uneven distribution could point to specific user group challenges. Expected answer: Increase varies across specialties, with general practitioners showing the highest uptick. Impact on approach: We'd tailor our investigation and solutions to the most affected user segments.
Why it matters: New features or updates could be causing unexpected user behavior. Expected answer: A major UI overhaul was implemented two months ago. Impact on approach: We'd focus on usability issues and user adaptation to the new interface.
Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes to measurement methodology. Impact on approach: Confirms the increase is real and not a result of altered metrics.
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