What factors are contributing to the sudden 30% increase in appointment cancellations for Cerebral's therapy sessions this month?

Introduction

The sudden 30% increase in appointment cancellations for Cerebral's therapy sessions this month is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for Cerebral's service quality and user retention.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into product understanding, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal component. Has this increase in cancellations occurred around the same time in previous years?

Why it matters: Seasonal patterns could indicate external factors rather than product issues. Expected answer: No significant seasonal pattern observed in previous years. Impact on approach: If seasonal, we'd focus on adapting to cyclical demand; if not, we'd investigate recent changes.

• Considering user segments, I'm curious about the distribution of cancellations. Are we seeing this increase across all user groups or is it concentrated in specific demographics?

Why it matters: Helps identify if the issue is universal or specific to certain user types. Expected answer: The increase is more pronounced among younger users aged 18-25. Impact on approach: If concentrated, we'd focus on that segment's specific needs and behaviors.

• Thinking about recent changes, have there been any updates to the appointment booking or cancellation process in the last 30-60 days?

Why it matters: Recent changes could directly impact user behavior. Expected answer: A minor UI update was implemented in the cancellation flow two weeks ago. Impact on approach: If changes coincide with the increase, we'd scrutinize those specific alterations.

• Considering the broader context, has there been any significant change in marketing strategies or user acquisition channels recently?

Why it matters: New user cohorts might behave differently than established users. Expected answer: A new social media campaign targeting college students launched last month. Impact on approach: If new user cohorts are driving the change, we'd analyze their onboarding and engagement patterns.