Student pricing is available for eligible university email holders. View plans

NextSprints
NextSprints Icon NextSprints Logo
Product Design

Master the art of designing products

Product Improvement

Identify scope for excellence

Product Success Metrics

Learn how to define success of product

Product Root Cause Analysis

Ace root cause problem solving

Product Trade-Off

Navigate trade-offs decisions like a pro

All Questions

Explore all questions

Meta (Facebook) PM Interview Course

Practice Meta-focused PM cases

Amazon PM Interview Course

Practice Amazon-focused PM cases

Apple PM Interview Course

Practice Apple-focused PM cases

Google PM Interview Course

Practice Google-focused PM cases

Microsoft PM Interview Course

Practice Microsoft-focused PM cases

All Courses

Explore all courses

1:1 PM Coaching

Practice in a one-to-one session

Resume Review

Narrate impactful stories via resume

Guides Pricing
nextsprints logo

Not a member?

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement.

nextsprints logo

Register to continue.

Login with Google Login with LinkedIn

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement .

Company focus

MFine

What factors are causing the sudden 50% increase in appointment cancellations for MFine's lab test booking feature this week?

Prepared by NextSprints

12 mins
Report an error
Data Analysis Problem-Solving Strategic Thinking Healthcare Technology Diagnostics Data Analysis User Retention Product Metrics Root Cause Analysis Healthcare Tech
Product Management Root Cause Analysis Question: Investigating sudden increase in healthcare app cancellations

Introduction

The sudden 50% increase in appointment cancellations for MFine's lab test booking feature this week is a critical issue that demands immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Considering the abruptness of the change, I'm wondering if there have been any recent updates to the booking system. Have there been any changes to the app or website in the past week?

Why it matters: Recent changes could directly impact user behavior. Expected answer: Yes, there was a minor UI update. Impact on approach: If confirmed, we'd focus on the UI changes as a primary factor.

  • Given the specificity of the 50% increase, I'm curious about the baseline cancellation rate. What was the average cancellation rate for lab test bookings in the past month?

Why it matters: Understanding the baseline helps quantify the severity of the issue. Expected answer: Around 10-15% cancellation rate previously. Impact on approach: A lower baseline would indicate a more severe problem, requiring more urgent action.

  • Thinking about user segments, I'm wondering if this increase is uniform across all user groups. Are we seeing this 50% increase consistently across different demographics or user types?

Why it matters: Identifying affected segments can narrow down potential causes. Expected answer: The increase is more pronounced among first-time users. Impact on approach: If confirmed, we'd focus on onboarding and first-time user experience.

  • Considering potential external factors, I'm curious about any recent changes in the competitive landscape. Have any major competitors launched new features or promotions recently?

Why it matters: External market forces could be influencing user behavior. Expected answer: No significant competitor actions noted. Impact on approach: If confirmed, we'd focus more on internal factors and user experience issues.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Jan 22, 2025