Designing a Product Approach to Cut Seattle Commute Congestion

Quick Overview

An open-ended product sense question that asks how to solve traffic congestion in Seattle. It tests defining the problem precisely, weighing roads, transit, pricing and behavior-change levers, choosing a traveler segment, proposing a prioritized product, and measuring success by congestion actually reduced rather than by app usage.

Designing a Product Approach to Cut Seattle Commute Congestion

Company: Microsoft

Role: Product Manager

Category: Product Design & Strategy

Difficulty: medium

Interview Round: Other

Seattle has a traffic problem. How would you solve it? Walk through how you would pin down what the problem actually is, which travelers you would focus on, what you would build or change, and how you would know it is working. ```hint Pick the lever you can pull Traffic can be attacked by adding roads, expanding transit, pricing road use, or changing when and how people travel. Ask which of these a product team can actually move, and for which group of travelers, before you design anything. ``` ### Clarifying Questions - What does "the traffic problem" mean here: long commutes, unpredictable travel times, or gridlock at particular chokepoints such as the bridges across Lake Washington? - Am I solving this as a product team at a technology company, for example a Microsoft team building on its own products and workforce, or as an adviser to the city who can also change policy and infrastructure? - Which trips matter most: weekday commutes, freight and deliveries, or weekend and event traffic? - What time frame are we working with: something that ships within a year, or a long-term plan? ### What a Strong Answer Covers - A precise problem definition with its root causes, and a reasoned choice of which travelers and trips to target - An honest view of the levers (road capacity, transit, pricing and policy, changing travel behavior) and why the chosen lever can actually reduce congestion - Pain points of the chosen segment and a prioritized set of solutions with a clear first version - Success metrics tied to congestion actually reduced rather than app usage, with guardrails - Risks such as traffic returning after a gain, equity, privacy and adoption, with mitigations ### Follow-up Questions - If your product works and the roads clear, more people may start driving at peak again. How do you keep the gain? - How would you show that your product, rather than the season or a new transit line, reduced congestion? - How would the plan change if your only customers were employers rather than individual commuters?

Overview: An open-ended product sense question that asks how to solve traffic congestion in Seattle. It tests defining the problem precisely, weighing roads, transit, pricing and behavior-change levers, choosing a traveler segment, proposing a prioritized product, and measuring success by congestion actually reduced rather than by app usage.

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Microsoft
Jul 31, 2024
mediumProduct ManagerOtherProduct Design & Strategy
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Seattle has a traffic problem. How would you solve it?

Walk through how you would pin down what the problem actually is, which travelers you would focus on, what you would build or change, and how you would know it is working.

Clarifying Questions Guidance

  • What does "the traffic problem" mean here: long commutes, unpredictable travel times, or gridlock at particular chokepoints such as the bridges across Lake Washington?
  • Am I solving this as a product team at a technology company, for example a Microsoft team building on its own products and workforce, or as an adviser to the city who can also change policy and infrastructure?
  • Which trips matter most: weekday commutes, freight and deliveries, or weekend and event traffic?
  • What time frame are we working with: something that ships within a year, or a long-term plan?

What a Strong Answer Covers Guidance

  • A precise problem definition with its root causes, and a reasoned choice of which travelers and trips to target
  • An honest view of the levers (road capacity, transit, pricing and policy, changing travel behavior) and why the chosen lever can actually reduce congestion
  • Pain points of the chosen segment and a prioritized set of solutions with a clear first version
  • Success metrics tied to congestion actually reduced rather than app usage, with guardrails
  • Risks such as traffic returning after a gain, equity, privacy and adoption, with mitigations

Follow-up Questions Guidance

  • If your product works and the roads clear, more people may start driving at peak again. How do you keep the gain?
  • How would you show that your product, rather than the season or a new transit line, reduced congestion?
  • How would the plan change if your only customers were employers rather than individual commuters?