Introduction
The increase in average time to sell fashion items on Carousell from 3 to 7 days over the past month is a concerning trend that requires immediate attention. This analysis will systematically identify potential root causes, validate hypotheses, and propose solutions to address this issue. We'll examine both internal and external factors, considering technical, user behavior, and market-related aspects.
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 trends can significantly impact buying behavior. Expected answer: No significant seasonal events noted. Impact on approach: If seasonal, we'd focus on cyclical patterns; if not, we'd look more closely at internal factors.
Why it matters: Different segments may have different underlying issues. Expected answer: The increase is more pronounced in certain categories. Impact on approach: We'd prioritize investigating the most affected categories first.
Why it matters: Product changes can have unintended consequences on user behavior. Expected answer: Minor UI updates were implemented. Impact on approach: We'd closely examine the impact of these changes on user interaction.
Why it matters: External market pressures can influence selling times. Expected answer: No major changes in competitive landscape noted. Impact on approach: We'd focus more on internal factors if the market remains stable.
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