Introduction
Carbon Health's prescription refill feature usage has declined by 25% among patients aged 50+ in the last quarter, raising concerns about user engagement and potential revenue impact. This analysis will systematically identify, validate, and address the root cause while considering both immediate and long-term implications for the product and its users.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: UI changes could significantly impact usage for less tech-savvy users. Expected answer: No major UI changes in the last quarter. Impact on approach: If true, we'd focus more on other factors like user education or competing services.
Why it matters: Policy changes could explain a sudden drop in usage. Expected answer: No significant policy changes noted. Impact on approach: If confirmed, we'd shift focus to internal factors or user behavior changes.
Why it matters: Changes in refill patterns could indicate shifts in medication adherence or alternative refill methods. Expected answer: No significant change in refill frequency. Impact on approach: If frequency has changed, we'd investigate reasons for altered medication patterns.
Why it matters: Technical problems could directly impact feature usage. Expected answer: No major technical issues reported. Impact on approach: If issues are found, we'd prioritize technical fixes and improvements.
Practice similar questions
Subscribe to access the full answer