Why has the average time spent by doctors using Doctolib's practice management software increased by 25% this quarter?

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.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonal factors at play. Has this increase coincided with any particular time of year or event in the medical calendar?

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.

• Considering user segments, I'm curious about the distribution of this increase. Is the 25% increase uniform across all doctor specialties and practice sizes?

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.

• Thinking about recent changes, have there been any significant updates to the software or new features rolled out in the past quarter?

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.

• Regarding data integrity, has there been any change in how we measure or define "time spent" on the platform?

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.