Diagnose a 20% ride volume decline in one Lyft market

Quick Overview

A metric diagnosis question for a Lyft product manager: ride volume in one market has fallen 20% and you must work out why. It tests validating the data and comparison period, separating external from internal causes, breaking rides into a demand and supply funnel, and using segment cuts to isolate the root cause.

Diagnose a 20% ride volume decline in one Lyft market

Company: Lyft

Role: Product Manager

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Other

In one of Lyft's markets, ride volume has fallen by 20%. Walk through how you would figure out why. ```hint Question the number first Before looking for a cause, pin down how the 20% was measured and what it is being compared with. ``` ### Clarifying Questions - Over what window is the 20% measured: week over week, month over month, or against the same period last year? - Did the drop arrive suddenly on a particular date, or build gradually over several weeks? - Does "rides" mean completed rides or requested rides, and do bike and scooter trips count in this market? - Is the decline limited to this market, or are other markets down as well? ### What a Strong Answer Covers - Validating the data, the metric definition and the comparison period before diagnosing. - Separating external causes (seasonality, competition, regulation, events) from internal ones (releases, pricing, incentives). - Breaking rides into a demand and supply funnel to locate the step that dropped. - Segment cuts that narrow the drop down to a specific cause. - A way to confirm the root cause and size its contribution before acting. ### Follow-up Questions - You find that completed rides fell while requests stayed flat. Where do you look next? - The decline is concentrated among Android riders. What are the likely causes, and how do you confirm one? - A competitor ran heavy rider promotions in this market during the same period. How would you estimate how much of the drop it explains?

Overview: A metric diagnosis question for a Lyft product manager: ride volume in one market has fallen 20% and you must work out why. It tests validating the data and comparison period, separating external from internal causes, breaking rides into a demand and supply funnel, and using segment cuts to isolate the root cause.

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Lyft
Sep 12, 2026
mediumProduct ManagerOtherAnalytics & Experimentation
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In one of Lyft's markets, ride volume has fallen by 20%. Walk through how you would figure out why.

Clarifying Questions Guidance

  • Over what window is the 20% measured: week over week, month over month, or against the same period last year?
  • Did the drop arrive suddenly on a particular date, or build gradually over several weeks?
  • Does "rides" mean completed rides or requested rides, and do bike and scooter trips count in this market?
  • Is the decline limited to this market, or are other markets down as well?

What a Strong Answer Covers Guidance

  • Validating the data, the metric definition and the comparison period before diagnosing.
  • Separating external causes (seasonality, competition, regulation, events) from internal ones (releases, pricing, incentives).
  • Breaking rides into a demand and supply funnel to locate the step that dropped.
  • Segment cuts that narrow the drop down to a specific cause.
  • A way to confirm the root cause and size its contribution before acting.

Follow-up Questions Guidance

  • You find that completed rides fell while requests stayed flat. Where do you look next?
  • The decline is concentrated among Android riders. What are the likely causes, and how do you confirm one?
  • A competitor ran heavy rider promotions in this market during the same period. How would you estimate how much of the drop it explains?