Introduction
The sudden drop in daily ratings from 10,000 to 8,000 on an e-commerce platform like Amazon or Flipkart is a significant issue that requires immediate attention. This 20% decrease could have far-reaching implications for product visibility, customer trust, and overall platform performance. I'll approach this problem systematically, focusing on identifying the root cause while considering both short-term fixes and long-term strategic implications.
This analysis will follow a structured approach covering issue identification, hypothesis generation, validation, and solution development, ensuring we address all potential factors contributing to the ratings drop.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Pinpointing the exact timeframe helps narrow down potential causes. Expected answer: The drop was noticed yesterday. Impact on approach: A sudden drop suggests an acute issue rather than a gradual trend.
Why it matters: This helps identify if the issue is global or category-specific. Expected answer: The drop is consistent across categories. Impact on approach: A uniform drop would suggest a system-wide issue rather than a category-specific problem.
Why it matters: Recent changes could directly impact user behavior. Expected answer: No recent changes to the rating process. Impact on approach: If true, we'd focus more on backend issues or external factors.
Why it matters: Ensures we're not chasing a non-existent problem. Expected answer: Systems appear to be functioning normally. Impact on approach: If confirmed, we'd shift focus to user behavior or external factors.
Why it matters: External factors could explain sudden changes in user behavior. Expected answer: No notable competitor activities or market events. Impact on approach: If true, we'd focus more on internal factors and user experience issues.
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