Introduction
Kaiser Permanente's prescription refill mobile app has experienced a sudden 20% decrease in user retention rates this week. This significant drop in retention is concerning and requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and address the root cause while considering both immediate and long-term implications.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, there was an update last week. Impact on approach: If confirmed, we'd focus on the update's features and potential bugs.
Why it matters: Segmentation helps pinpoint if the issue is widespread or specific to certain users. Expected answer: The decrease is more pronounced among older users and on iOS devices. Impact on approach: We'd prioritize investigating iOS-specific issues and usability for older users.
Why it matters: External factors can significantly impact user behavior. Expected answer: No major policy changes, but there's been media coverage about prescription drug prices. Impact on approach: We'd consider how external narratives might be influencing user perception and behavior.
Why it matters: Technical issues often lead to decreased retention. Expected answer: There's been a slight increase in error rates, but nothing significant. Impact on approach: We'd still investigate the error logs more closely, as even small increases can impact user experience.
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