Size a New IKEA Store's Opening Month for a CEO Briefing

Quick Overview

An estimation and analytical question for product managers: prepare a first-month projection for a newly opened IKEA store that the CEO could act on. It tests scoping what to project, building a driver tree with labeled assumptions, accounting for the opening-month effect, checking the arithmetic, and presenting a range.

Size a New IKEA Store's Opening Month for a CEO Briefing

Company: Salesforce

Role: Product Manager

Category: Product / Decision Making

Difficulty: medium

Interview Round: Other

You have been asked to put together a projection of how a newly opened IKEA store will do in its first month, for the company's CEO. Explain how you would prepare it, then work through the estimate to a figure the CEO could use. ```hint Pick a spine and a check Decide whether to build up from the people within reach of the store or from how established stores perform, keep the other as a cross-check, and ask what makes a store's first month unlike a typical one. ``` ### Clarifying Questions - What should the projection measure: sales revenue, store visits, number of purchases, or profit? - Where is the store, and is it IKEA's first in that market or one more store in a region the brand already serves? - Do online orders delivered from or collected at the store count toward its first-month numbers? - What will the CEO use the projection for: setting a target, planning staff and stock, or judging the opening afterward? ### What a Strong Answer Covers - Agreement on what is being projected and what decision it supports, settled before any arithmetic - A driver tree from the chosen starting point to the projected figure, with each assumption labeled and rounded - How an opening month differs from a steady-state month, and how that is reflected in the numbers - Correct, unit-consistent arithmetic and a cross-check by an independent method - A range with the drivers that move it most, presented in a form a CEO can act on ### Follow-up Questions - Two weeks after opening, sales are running well below your projection. How would you find out why? - Which signals available before opening day would you use to tighten the estimate? - How would you extend the first-month projection into a first-year forecast?

Overview: An estimation and analytical question for product managers: prepare a first-month projection for a newly opened IKEA store that the CEO could act on. It tests scoping what to project, building a driver tree with labeled assumptions, accounting for the opening-month effect, checking the arithmetic, and presenting a range.

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Salesforce
Apr 13, 2024
mediumProduct ManagerOtherProduct / Decision Making
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You have been asked to put together a projection of how a newly opened IKEA store will do in its first month, for the company's CEO. Explain how you would prepare it, then work through the estimate to a figure the CEO could use.

Clarifying Questions Guidance

  • What should the projection measure: sales revenue, store visits, number of purchases, or profit?
  • Where is the store, and is it IKEA's first in that market or one more store in a region the brand already serves?
  • Do online orders delivered from or collected at the store count toward its first-month numbers?
  • What will the CEO use the projection for: setting a target, planning staff and stock, or judging the opening afterward?

What a Strong Answer Covers Guidance

  • Agreement on what is being projected and what decision it supports, settled before any arithmetic
  • A driver tree from the chosen starting point to the projected figure, with each assumption labeled and rounded
  • How an opening month differs from a steady-state month, and how that is reflected in the numbers
  • Correct, unit-consistent arithmetic and a cross-check by an independent method
  • A range with the drivers that move it most, presented in a form a CEO can act on

Follow-up Questions Guidance

  • Two weeks after opening, sales are running well below your projection. How would you find out why?
  • Which signals available before opening day would you use to tighten the estimate?
  • How would you extend the first-month projection into a first-year forecast?