What caused the sudden 30% decrease in Candid Care's virtual consultation bookings over the last week?

Introduction

The sudden 30% decrease in Candid Care's virtual consultation bookings over the last week 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 the product and business.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product ecosystem, user journey, and relevant metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose a structured plan for validation and resolution.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this could be related to a recent product change. Have there been any updates to the booking system or user interface in the past two weeks?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, a minor UI update was rolled out 10 days ago. Impact on approach: If confirmed, I'd prioritize investigating this change.

• Considering user segments, I'm curious if this decrease is uniform across all user types. Can you tell me if the 30% drop is consistent across new and returning users?

Why it matters: Different impacts on user segments can point to specific issues. Expected answer: The drop is more pronounced among new users. Impact on approach: I'd focus on the new user onboarding experience and first-time booking flow.

• Given the nature of virtual consultations, I'm wondering about any changes in the healthcare landscape. Have there been any recent policy changes or competitor actions that might affect virtual consultation demand?

Why it matters: External factors can significantly impact user behavior. Expected answer: No major policy changes, but a competitor launched a promotional campaign. Impact on approach: I'd consider competitive analysis as part of the solution.

• Thinking about system reliability, I'm concerned about potential technical issues. Has there been any increase in error rates or system downtime during this period?

Why it matters: Technical problems can directly impact booking rates. Expected answer: No significant increase in error rates or downtime reported. Impact on approach: I'd lower the priority of investigating technical issues.