Product strategy call on Google recommending products to shoppers

Quick Overview

A product strategy question for Google product manager candidates on whether Google should build a shopping recommendation product. It tests how you pin down an ambiguous product, weigh Google's assets and business model against trust, merchant and regulatory risks, and back a clear recommendation with metrics and a test plan.

Product strategy call on Google recommending products to shoppers

Company: Google

Role: Product Manager

Category: Product Design & Strategy

Difficulty: medium

Interview Round: Other

Google is weighing whether to build a shopping recommendation product. As a product manager, give your recommendation: decide what such a product would actually be, explain why it would or would not be a good move for Google, and say how you would know the call was right. ```hint Define it before you judge it The prompt does not say what gets recommended, to whom, or where it appears. Settle on a concrete version first, then test it against what Google already has, how Google makes money and what could go wrong. ``` ### Clarifying Questions - What kind of product is meant: suggestions in Google's own hardware store, personalized recommendations for shoppers on Google surfaces such as Search, a conversational assistant that suggests products, or a recommendation service sold to retailers? - Which outcome matters most to Google here: ad revenue, merchant adoption, shoppers' trust in results, or sales of Google's own devices? - Is there a market or time horizon in mind, or should I choose one? ### What a Strong Answer Covers - A concrete version of the product chosen from the plausible readings, with the reason for the choice - The opportunity weighed against Google's existing assets, competitors and business model - The risks to user trust, merchant relationships, regulatory standing and existing revenue, set against the upside - A clear recommendation, with the evidence that would change it - How success would be measured and how the idea would be tested before a full build ### Follow-up Questions - What finding would make you recommend against building it? - If recommendations and paid shopping ads appear side by side, how would you keep shoppers' trust? - What is the smallest experiment that would show the idea is worth pursuing?

Overview: A product strategy question for Google product manager candidates on whether Google should build a shopping recommendation product. It tests how you pin down an ambiguous product, weigh Google's assets and business model against trust, merchant and regulatory risks, and back a clear recommendation with metrics and a test plan.

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Google
Jan 30, 2024
mediumProduct ManagerOtherProduct Design & Strategy
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Google is weighing whether to build a shopping recommendation product. As a product manager, give your recommendation: decide what such a product would actually be, explain why it would or would not be a good move for Google, and say how you would know the call was right.

Clarifying Questions Guidance

  • What kind of product is meant: suggestions in Google's own hardware store, personalized recommendations for shoppers on Google surfaces such as Search, a conversational assistant that suggests products, or a recommendation service sold to retailers?
  • Which outcome matters most to Google here: ad revenue, merchant adoption, shoppers' trust in results, or sales of Google's own devices?
  • Is there a market or time horizon in mind, or should I choose one?

What a Strong Answer Covers Guidance

  • A concrete version of the product chosen from the plausible readings, with the reason for the choice
  • The opportunity weighed against Google's existing assets, competitors and business model
  • The risks to user trust, merchant relationships, regulatory standing and existing revenue, set against the upside
  • A clear recommendation, with the evidence that would change it
  • How success would be measured and how the idea would be tested before a full build

Follow-up Questions Guidance

  • What finding would make you recommend against building it?
  • If recommendations and paid shopping ads appear side by side, how would you keep shoppers' trust?
  • What is the smallest experiment that would show the idea is worth pursuing?