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Company focus

Doctolib

What's causing the sudden increase in appointment cancellation rates for specialist consultations in the Paris region on Doctolib?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Strategic Thinking Healthcare Technology SaaS Product Analytics Root Cause Analysis User Behavior Healthcare Tech Seasonal Trends
Product Management Root Cause Analysis Question: Investigating sudden increase in appointment cancellations for Doctolib in Paris

Introduction

The sudden increase in appointment cancellation rates for specialist consultations in the Paris region on Doctolib is a critical issue that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the platform and its users.

To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My response will be organized into distinct sections, each focusing on a crucial aspect of the analysis.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

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

Why it matters: Seasonal patterns could explain temporary spikes and inform our solution approach. Expected answer: The increase started in early summer. Impact on approach: If seasonal, we'd focus on temporary adjustments rather than systemic changes.

  • Considering user segments, I'm wondering if this is affecting all specialists equally. Are we seeing higher cancellation rates for certain types of specialists or appointment durations?

Why it matters: This could point to specific issues within certain medical fields or appointment types. Expected answer: Dermatologists and short consultations are most affected. Impact on approach: We'd tailor our solution to address the most impacted segments first.

  • Thinking about recent changes, have there been any updates to the booking or cancellation process on Doctolib in the past few months?

Why it matters: Recent changes could have unintended consequences on user behavior. Expected answer: A new cancellation feature was implemented two months ago. Impact on approach: We'd focus on analyzing the impact of this specific feature change.

  • Considering external factors, has there been any significant change in healthcare policies or insurance coverage in the Paris region recently?

Why it matters: Policy changes could affect patient behavior across the board. Expected answer: No major policy changes have been reported. Impact on approach: We'd shift focus to internal factors and user behavior patterns.

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NextSprints

Updated Dec 5, 2024