Introduction
The recent 15% drop in conversion rate for women's shoes on Namshi is a critical issue that demands immediate attention. As we delve into this product execution problem, I'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
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 shopping behavior. Expected answer: It's not aligned with any major seasonal shift. Impact on approach: If seasonal, we'd focus on inventory and marketing strategies.
Why it matters: Identifying affected segments helps narrow down potential causes. Expected answer: The drop is more significant among younger users (18-25). Impact on approach: We'd investigate factors specifically affecting younger shoppers.
Why it matters: UI/UX changes can significantly impact user behavior and conversion rates. Expected answer: A new filtering system was implemented three weeks ago. Impact on approach: We'd focus on the usability and effectiveness of the new feature.
Why it matters: Technical issues can directly affect user experience and conversion rates. Expected answer: No significant changes in performance metrics have been observed. Impact on approach: We'd shift focus from technical performance to other potential causes.
Why it matters: Competitive landscape changes can impact user behavior across platforms. Expected answer: A major competitor launched a significant promotion two weeks ago. Impact on approach: We'd analyze our pricing and promotion strategies in comparison to competitors.
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