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 .

Why has Foresight Mental Health's online therapy booking system seen a 30% drop in new patient appointments over the past month?

Prepared by NextSprints

15 mins
Report an error
Data Analysis Problem-Solving User Experience Design Digital Health Telemedicine Mental Health Services Conversion Optimization Product Analytics User Acquisition Root Cause Analysis Mental Health Tech
Product Management Root Cause Analysis Question: Investigating decline in mental health app bookings

Introduction

The recent 30% drop in new patient appointments for Foresight Mental Health's online therapy booking system is a critical issue that demands immediate attention. This decline not only impacts the company's revenue but also potentially affects patient access to mental health services. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

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 component. Has this drop coincided with any particular time of year or event?

Why it matters: Seasonal patterns could explain the fluctuation and inform our solution approach. Expected answer: No significant seasonal correlation. Impact on approach: If seasonal, we'd focus on anticipating and mitigating annual drops.

  • Considering user segments, I'm curious about the distribution of the drop. Is the 30% decrease uniform across all user types, or is it more pronounced in specific groups?

Why it matters: Identifying affected segments helps pinpoint targeted solutions. Expected answer: The drop is more significant among new users. Impact on approach: We'd focus on new user acquisition and onboarding processes.

  • Regarding recent changes, have there been any updates to the booking system or marketing strategies in the past month?

Why it matters: Recent changes could directly correlate with the appointment drop. Expected answer: A minor UI update was implemented. Impact on approach: We'd scrutinize the impact of the UI change on user behavior.

  • Thinking about external factors, has there been any shift in insurance coverage or policies related to online therapy?

Why it matters: Changes in coverage could significantly impact patient decisions. Expected answer: No major policy changes noted. Impact on approach: If policy-related, we'd need to adapt our offering or communication strategy.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Jan 22, 2025