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Define metrics for new market expansion success

DoorDashData Scientist · Onsite
HardData ScientistOnsiteAnalytics & Experimentation

Last updated

This question tests the ability to design a comprehensive evaluation framework for entering a new geographic market by balancing growth, unit economics, and marketplace balance.

The Scenario

DoorDash is launching its food delivery service in a mid-sized metropolitan area that has been dominated by a local competitor for years. You are the lead Data Scientist tasked with defining the success metrics for the first 6 months of this market launch.

The Task

Develop an analytics framework to evaluate the performance of this new market. Your answer should address the following areas:

  1. Primary Success Metrics: Identify the top 3 metrics that define a "winning" market at the 6-month mark.
  2. Marketplace Health: How will you monitor the supply (Dashers) and demand (Consumers) balance to ensure a sustainable ecosystem?
  3. Guardrails: What unintended consequences or negative side effects should be monitored to ensure the platform isn't growing at the cost of long-term health?
  4. Attribution and Promotions: We are running aggressive "First Order Free" promotions. How do you distinguish between organic growth and coupon-driven "deal-seeking" behavior?
  5. Unit Economics: At what point does a new market transition from an "investment phase" to a "contribution margin positive" phase, and which metrics indicate this shift?

Expectations

You are not expected to provide a single number, but rather a structured approach to measuring success. Define the metrics, explain the "why" behind your selection, and discuss the trade-offs between speed of growth and operational profitability.

Hints

Hint 1

Consider the three-sided nature of the marketplace: consumers, restaurants, and Dashers.

Hint 2

Think about the difference between top-line growth metrics like Gross Order Value (GOV) and profitability metrics like Contribution Margin per Order.

Hint 3

For the promotion question, consider using cohort analysis to track long-term retention of users who joined via a promo versus those who joined organically.

Follow-up questions

  • If you notice a high surge in orders but a high Dasher churn rate, how would you adjust your supply-side incentives?
  • How would you measure the cannibalization effect if this new market is close to an existing DoorDash city?
  • If the competition lowers their delivery fees by 50% on the day we launch, how does that impact your interpretation of our initial 30-day metrics?