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Define product success metrics

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's ability to design product success metrics, specify input and guardrail metrics, plan event instrumentation, and anticipate metric gaming for a consumer feature in the Analytics & Experimentation domain for a Data Scientist role.

  • medium
  • Airbnb
  • Analytics & Experimentation
  • Data Scientist

Define product success metrics

Company: Airbnb

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Onsite

For a new consumer feature, define a clear North Star metric and a set of input and guardrail metrics. Explain why each metric matters, how to instrument events, how to avoid metric gaming, and how you would set baselines and targets.

Quick Answer: This question evaluates a candidate's ability to design product success metrics, specify input and guardrail metrics, plan event instrumentation, and anticipate metric gaming for a consumer feature in the Analytics & Experimentation domain for a Data Scientist role.

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Airbnb logo
Airbnb
Sep 6, 2025, 12:00 AM
Data Scientist
Onsite
Analytics & Experimentation
9
0
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Define Metrics and Experiment Guardrails for a New Consumer Feature

Context (Assumption to Ground the Exercise)

Assume you are launching a "Price Drop Alerts" feature in a consumer travel/marketplace app. Users can follow a listing or search and receive push/email alerts when the price drops or when an excellent deal appears.

Task

  1. Propose a single North Star Metric (NSM) for this feature.
  2. Define 5–8 input (driver) metrics that ladder up to the NSM.
  3. Define guardrail metrics (user experience, quality, marketplace health, operational risk).
  4. Describe how you would instrument events and attributes to compute these metrics accurately.
  5. Explain how to avoid metric gaming and perverse incentives.
  6. Explain how you would set baselines and targets for these metrics.

Solution

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