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 Ginger (Clinics/Outpatient Services)'s virtual therapy session attendance rate dropped by 15% over the past month?

Prepared by NextSprints

15 mins
Report an error
Data Analysis Problem-Solving User Experience Digital Health Telemedicine Mental Health User Engagement Product Metrics Root Cause Analysis Digital Health Virtual Therapy
Product Management Root Cause Analysis Question: Investigating virtual therapy attendance drop at Ginger

Introduction

The recent 15% drop in Ginger's virtual therapy session attendance rate over the past month is a concerning trend that requires immediate attention. As we analyze this issue, we'll follow a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

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 temporary fluctuations. Expected answer: No clear seasonal pattern identified. Impact on approach: If seasonal, we'd focus on annual trends; if not, we'll investigate recent changes.

  • Considering user segments, I'm curious if this drop is uniform across all user groups. Have you noticed any particular demographic or user type more affected than others?

Why it matters: Helps pinpoint if the issue is global or specific to certain users. Expected answer: The drop is more pronounced among younger users. Impact on approach: We'd focus on factors specifically affecting younger demographics.

  • Thinking about recent changes, have there been any updates to the platform, pricing, or therapist availability in the last 1-2 months?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: A new user interface was rolled out 6 weeks ago. Impact on approach: We'd investigate how the UI change might have affected user behavior.

  • Regarding competitive landscape, has there been any significant movement from competitors recently, such as new features or aggressive marketing campaigns?

Why it matters: External market forces can impact user engagement. Expected answer: A major competitor launched a free trial program last month. Impact on approach: We'd analyze how competitive offerings might be affecting our user base.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Mar 29, 2025