Introduction
As a seasoned product leader, I understand the critical importance of maintaining a healthy order fulfillment rate in a food delivery app. The downward trend in orders fulfilled is a concerning issue that requires immediate attention and a systematic approach to identify and address the root cause.
I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into our product, user journey, and metrics. We'll generate data-driven hypotheses, conduct root cause analysis, and develop a comprehensive plan to validate and resolve the issue.
Framework overview
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 patterns could explain the trend and inform our solution approach. Expected answer: No clear seasonal correlation. Impact on approach: If seasonal, we'd focus on adaptive strategies; if not, we'd look deeper into internal factors.
Why it matters: Identifying affected segments helps narrow down potential causes. Expected answer: The trend is more pronounced among occasional users. Impact on approach: We'd focus on retention strategies for occasional users if this is the case.
Why it matters: Recent changes could directly impact user behavior and order fulfillment. Expected answer: A new UI was rolled out two months ago. Impact on approach: We'd investigate the UI change's impact on user experience and order flow.
Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes in metric definition. Impact on approach: Confirms we're dealing with an actual decline, not a measurement issue.
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