Data Needed to Pick a Location for a New Pizzeria Facing a Chain and a Local Rival

Quick Overview

A product manager must decide where to open a new pizza restaurant in a city that already has a national chain outlet and an independent local pizzeria. The prompt tests how a candidate identifies the demand, competitor, site and cost data needed and combines it into a defensible location choice.

Data Needed to Pick a Location for a New Pizzeria Facing a Chain and a Local Rival

Company: Google

Role: Product Manager

Category: Product / Decision Making

Difficulty: medium

Interview Round: Other

Imagine you want to open a pizza restaurant in a city where two pizza businesses already operate: a Pizza Hut outlet, which belongs to a national chain, and an independent local brand. You have to choose the neighborhood and the site. Explain which data you would collect to make that choice, where you would get it, and how you would turn it into a decision. ```hint Two incumbents, two different threats The chain and the local shop win customers for different reasons. Think about what you would need to learn about each of them, and about the parts of the city that neither one serves well. ``` ### Clarifying Questions - Will the restaurant mainly do dine-in, carry-out or delivery? That decides whether street visibility and parking matter more than delivery coverage. - Is this one independent restaurant, or a chain entering the city that may open more locations later? - How will the new restaurant compete with the two incumbents: on price like the national chain, on quality and local character like the independent shop, or on something neither of them offers? - What budget and lease horizon do we have, and is there a payback period the location must meet? ### What a Strong Answer Covers - A decision goal stated up front, such as expected profit or payback period, that tells you which data actually matters. - Neighborhood-level demand data: who lives and works where, when they eat, and how much pizza they already buy. - A competitive read on both incumbents: their locations, the areas they deliver to, their prices, and where their customers are unhappy. - Site and cost data: rent, visibility, access, zoning, staffing and delivery logistics. - A method to combine the data into a ranked shortlist with a revenue and cost estimate, plus a cheap way to validate demand before signing a lease. ### Follow-up Questions - The highest-scoring neighborhood sits right next to the national chain's outlet. Would you still open there, and what data would settle it? - You can afford only one paid data source. Which one would you buy, and why? - How would you test demand in your top two areas before committing to a multi-year lease?

Overview: A product manager must decide where to open a new pizza restaurant in a city that already has a national chain outlet and an independent local pizzeria. The prompt tests how a candidate identifies the demand, competitor, site and cost data needed and combines it into a defensible location choice.

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Google
Feb 20, 2025
mediumProduct ManagerOtherProduct / Decision Making
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Imagine you want to open a pizza restaurant in a city where two pizza businesses already operate: a Pizza Hut outlet, which belongs to a national chain, and an independent local brand. You have to choose the neighborhood and the site. Explain which data you would collect to make that choice, where you would get it, and how you would turn it into a decision.

Clarifying Questions Guidance

  • Will the restaurant mainly do dine-in, carry-out or delivery? That decides whether street visibility and parking matter more than delivery coverage.
  • Is this one independent restaurant, or a chain entering the city that may open more locations later?
  • How will the new restaurant compete with the two incumbents: on price like the national chain, on quality and local character like the independent shop, or on something neither of them offers?
  • What budget and lease horizon do we have, and is there a payback period the location must meet?

What a Strong Answer Covers Guidance

  • A decision goal stated up front, such as expected profit or payback period, that tells you which data actually matters.
  • Neighborhood-level demand data: who lives and works where, when they eat, and how much pizza they already buy.
  • A competitive read on both incumbents: their locations, the areas they deliver to, their prices, and where their customers are unhappy.
  • Site and cost data: rent, visibility, access, zoning, staffing and delivery logistics.
  • A method to combine the data into a ranked shortlist with a revenue and cost estimate, plus a cheap way to validate demand before signing a lease.

Follow-up Questions Guidance

  • The highest-scoring neighborhood sits right next to the national chain's outlet. Would you still open there, and what data would settle it?
  • You can afford only one paid data source. Which one would you buy, and why?
  • How would you test demand in your top two areas before committing to a multi-year lease?