Introduction
For Macy's online store, we're facing a critical trade-off between emphasizing a streamlined, fast checkout process or adding more product recommendation features to increase average order value. This decision will significantly impact user experience, conversion rates, and overall revenue. I'll analyze this trade-off by examining key metrics, designing experiments, and providing a data-driven recommendation.
I'd like to outline my approach to ensure we're aligned on the key areas I'll cover in my analysis.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps prioritize the importance of streamlining checkout Expected answer: Higher than average abandonment rate Impact on approach: Would lean towards prioritizing streamlined checkout
Why it matters: Indicates potential for increasing revenue through recommendations Expected answer: AOV lower than top competitors Impact on approach: Would support focusing on product recommendations
Why it matters: Helps assess the urgency of streamlining checkout Expected answer: Checkout process slower than benchmarks Impact on approach: Would prioritize streamlining if significantly slower
Why it matters: Determines feasibility and potential impact of improving recommendations Expected answer: Basic recommendation system with room for improvement Impact on approach: Would influence the complexity of recommendation features we could implement
Why it matters: Helps prioritize solution against business objectives Expected answer: High priority, directly impacts main revenue stream Impact on approach: Would justify faster timeline and more resources
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