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Evaluate Account-Partner Onboarding with Success Metrics

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a data scientist's competency in defining core success metrics, estimating causal impact from observational data, constructing propensity-score or synthetic-control comparison groups, and modeling acquisition-cost versus incremental-revenue relationships.

  • hard
  • DoorDash
  • Analytics & Experimentation
  • Data Scientist

Evaluate Account-Partner Onboarding with Success Metrics

Company: DoorDash

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: hard

Interview Round: Onsite

##### Scenario Account-partner team acquires new merchants onto the marketplace, and leadership wants to quantify how well that program works. ##### Question a) Which core success metrics would you report to evaluate account-partner onboarding performance? b) Without randomized experiments, how would you estimate causal impact—e.g., using difference-in-differences? c) If account partners mainly sign seafood restaurants, how would you build a propensity-score or synthetic-control comparison group and which merchant attributes would you match on? d) How would you model the relationship between acquisition cost and incremental revenue, and why might a logistic rather than linear curve be appropriate? ##### Hints Think causal inference, merchant-level covariates (location, cuisine, size, tenure), parallel-trend checks, and diminishing-return economics.

Quick Answer: This question evaluates a data scientist's competency in defining core success metrics, estimating causal impact from observational data, constructing propensity-score or synthetic-control comparison groups, and modeling acquisition-cost versus incremental-revenue relationships.

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DoorDash logo
DoorDash
Aug 4, 2025, 10:55 AM
Data Scientist
Onsite
Analytics & Experimentation
66
0

Evaluating an Account-Partner Merchant Onboarding Program

Context

You operate a two‑sided marketplace that onboards new merchants via two channels: (1) account partners (outbound sales) and (2) organic/self-serve. Leadership wants to evaluate how well the account-partner program works in terms of business impact, efficiency, and scalability. Randomized experiments are not currently available.

Questions

(a) Which core success metrics would you report to evaluate account-partner onboarding performance?

(b) Without randomized experiments, how would you estimate causal impact (e.g., using difference‑in‑differences)?

(c) If account partners mainly sign seafood restaurants, how would you build a propensity‑score or synthetic‑control comparison group, and which merchant attributes would you match on?

(d) How would you model the relationship between acquisition cost and incremental revenue, and why might a logistic rather than linear curve be appropriate?

Solution

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