Introduction
Baemin's 15% drop in daily active users over the past month is a significant concern 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 and long-term implications for the food delivery app's success.
I'll outline my approach by first clarifying the situation, ruling out external factors, and then diving deep into the product's user journey and metrics. We'll generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions. Throughout this process, we'll consider the broader impact on Woowa Brothers's ecosystem and long-term strategy.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal trends can greatly impact food delivery usage. Expected answer: No major seasonal changes noted. Impact on approach: If confirmed, we'll focus more on internal factors.
Why it matters: This helps identify if the issue is widespread or segment-specific. Expected answer: The drop is more significant among younger users. Impact on approach: We'd prioritize investigating factors affecting younger demographics.
Why it matters: Recent changes often correlate with shifts in user behavior. Expected answer: A new UI was rolled out three weeks ago. Impact on approach: We'd focus on the impact of the UI change on user experience.
Why it matters: Competitive pressures can lead to user churn. Expected answer: A new competitor launched with aggressive promotions. Impact on approach: We'd analyze our value proposition and competitive positioning.
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