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 Pear Therapeutics's reSET-O app seen a 30% drop in daily active users over the past month?

Prepared by NextSprints

15 mins
Report an error
Data Analysis Problem-Solving Strategic Thinking Digital Therapeutics Healthcare Technology Behavioral Health Product Analytics User Retention Root Cause Analysis Digital Health Behavioral Design
Product Management Root Cause Analysis Question: Investigating user decline in a digital therapeutic app

Introduction

The recent 30% drop in daily active users for Pear Therapeutics's reSET-O app is a critical issue that demands immediate attention. As we delve into this product execution problem, I'll employ 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 recent product update. Has there been any significant change to the app's features or user interface in the past month?

Why it matters: Recent changes could directly impact user engagement. Expected answer: Yes, there was a major UI overhaul. Impact on approach: If confirmed, we'd focus on usability issues and user feedback.

  • Considering the nature of the app, I'm curious about user retention. What's the typical usage pattern for reSET-O? Are users expected to engage daily for a specific treatment period?

Why it matters: Understanding the expected user lifecycle helps contextualize the drop. Expected answer: Users typically engage daily for 12 weeks. Impact on approach: If confirmed, we'd investigate factors affecting the treatment adherence.

  • Given the healthcare context, I'm wondering about regulatory changes. Have there been any recent changes in healthcare policies or insurance coverage related to digital therapeutics?

Why it matters: Regulatory changes could significantly impact user access and engagement. Expected answer: No major regulatory changes recently. Impact on approach: If confirmed, we'd focus more on product-specific issues rather than external factors.

  • Thinking about user segments, I'm curious if the drop is uniform across all user groups. Do we have data on which user segments (e.g., age, location, treatment stage) are most affected by this drop?

Why it matters: Identifying affected segments could point to specific issues or user needs. Expected answer: The drop is more pronounced in newer users. Impact on approach: If confirmed, we'd focus on onboarding and early-stage engagement strategies.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Jan 22, 2025