Introduction
The trade-off we're examining for Faire's pre-order program is whether to emphasize a wider selection of products or faster shipping times for retailers. This decision is crucial for balancing the platform's value proposition between product variety and fulfillment speed. I'll analyze this trade-off by considering its impact on retailers, suppliers, and Faire's business model, focusing on key metrics and potential experiments to inform our decision.
I'd like to outline my approach to ensure we're aligned on the analysis structure and key areas of focus.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps determine if we have historical data to analyze or if we're starting from scratch. Expected answer: It's a new initiative in beta testing. Impact on approach: If new, we'd focus more on market research and small-scale experiments.
Why it matters: Helps prioritize the solution against business objectives. Expected answer: Increasing GMV is a top priority for this quarter. Impact on approach: Would emphasize solutions that drive higher order values and frequency.
Why it matters: Allows us to tailor the solution to our most valuable or strategic user segments. Expected answer: Mid-sized retailers and emerging brands are our target segments. Impact on approach: Would focus on features that particularly benefit these segments.
Why it matters: Determines if we need to factor in significant tech development. Expected answer: Our current system can handle a 50% increase in SKUs without major changes. Impact on approach: Would influence the scope of product selection expansion we consider.
Why it matters: Affects the scale and type of experiments we can run. Expected answer: We aim to have changes implemented by early Q3 to capture Q4 demand. Impact on approach: Would prioritize quick-win solutions that can be tested and implemented rapidly.
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