Introduction
The sudden 30% decrease in orders for DeHaat's agricultural inputs on the mobile app last week is a critical issue that demands immediate attention. As we analyze this product problem, we'll follow a systematic framework to identify, validate, and address the root cause while considering both immediate and long-term implications.
I'll approach this issue by first clarifying key details, ruling out external factors, and then diving deep into the product ecosystem, user journey, and relevant metrics. We'll generate data-driven hypotheses, conduct root cause analysis, and develop a comprehensive plan for validation and resolution.
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: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, there was an update. Impact on approach: If yes, we'd focus on changes in that update.
Why it matters: Helps identify if it's a global issue or specific to certain users. Expected answer: The decrease varies across segments. Impact on approach: If varied, we'd investigate segment-specific factors.
Why it matters: Seasonal patterns could explain sudden changes. Expected answer: This period is usually stable. Impact on approach: If atypical, we'd rule out seasonal factors and focus on other causes.
Why it matters: Technical issues can directly impact order completion. Expected answer: No major reported issues. Impact on approach: If issues exist, we'd prioritize technical investigations.
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