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Company focus

Thirty Madison

What caused the sudden 30% decrease in new patient sign-ups for Thirty Madison's Cove migraine treatment platform last week?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving User Experience Digital Health Telemedicine E-commerce Conversion Optimization User Acquisition Root Cause Analysis Digital Health Telemedicine
Product Management Root Cause Analysis Question: Investigating sudden decrease in patient sign-ups for digital health platform

Introduction

The sudden 30% decrease in new patient sign-ups for Thirty Madison's Cove migraine treatment platform last 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.

My analysis will follow a structured framework, beginning with clarifying questions to gather essential context. I'll then rule out basic external factors before diving deep into product understanding, metric breakdown, and data-driven hypothesis formation. This will lead to a thorough root cause analysis, validation steps, and a comprehensive resolution plan.

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 have been a recent product update. Has there been any significant change to the Cove platform in the past two weeks?

Why it matters: Recent changes could directly impact sign-ups. Expected answer: Yes, there was a UI update. Impact on approach: If yes, we'd focus on the changes and their potential effects.

  • Considering user segments, I'm curious about the distribution of the decrease. Is the 30% drop consistent across all user demographics or concentrated in specific groups?

Why it matters: Helps identify if it's a universal issue or specific to certain users. Expected answer: The drop is more pronounced in older age groups. Impact on approach: If segmented, we'd investigate factors affecting those specific groups.

  • Thinking about external factors, have there been any changes in marketing spend or channels in the last month?

Why it matters: Changes in marketing could significantly impact new sign-ups. Expected answer: Marketing spend has remained consistent. Impact on approach: If unchanged, we'd focus more on product and user experience factors.

  • Considering data integrity, has there been any change in how new patient sign-ups are tracked or measured?

Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement methods. Impact on approach: If changed, we'd need to reassess our baseline metrics.

  • Reflecting on the competitive landscape, have any major competitors launched new features or promotions recently?

Why it matters: Competitive actions could draw potential patients away. Expected answer: No significant competitor actions noted. Impact on approach: If yes, we'd need to consider our market positioning and value proposition.

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NextSprints

Updated Mar 29, 2025