Launch Metrics Dashboard for Lyft's Driver Earnings Debit Card

Quick Overview

A product metrics interview question about building the first dashboard for Lyft Direct, a newly launched debit card for Lyft drivers. It tests choosing a goal and headline metric, defining an adoption funnel, and pairing engagement and business metrics with guardrails for payouts, fraud and support.

Launch Metrics Dashboard for Lyft's Driver Earnings Debit Card

Company: Lyft

Role: Product Manager

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Other

Lyft has just launched Lyft Direct, a debit card for its drivers, and you are the product manager who owns it. Build the product's first dashboard: decide what it should track, define the key metrics, organize them, and explain how the team would use the dashboard in the weeks after launch. ```hint Start from what the card is for A dashboard is only as good as the goal behind it. Decide what the card should achieve for drivers and for Lyft, then follow a driver from first hearing about the card to using it every week, and give each step a measure. ``` ### Clarifying Questions - What does the card offer drivers at launch: faster access to earnings, fee-free cash-out, rewards, or something else? - Who will read the dashboard: the team running daily launch operations, leadership reviewing the business weekly, or both? - Is the card open to every eligible driver from day one, or rolling out to some markets or driver groups first? - Is the card issued by a banking partner, and which account, transaction and fraud data will Lyft receive from that partner? ### What a Strong Answer Covers - A stated goal for the card, for drivers and for Lyft, from which the metrics follow. - A funnel from eligibility through application, approval, activation and repeat use, with precise metric definitions. - One headline metric with a clear definition, plus supporting metrics for engagement, value to drivers and business impact. - Guardrails for trust and risk, such as payout failures, card declines, fraud and support contacts. - How the dashboard is organized, segmented and used after launch, including the decisions it should drive. ### Follow-up Questions - Many drivers activate the card, but most move their money off it the same day. What would you investigate, and what would you change? - How would you find out whether the card makes drivers stay with Lyft longer, given that the drivers who sign up first are already the most committed? - Leadership wants three numbers each week. Which three, and why?

Overview: A product metrics interview question about building the first dashboard for Lyft Direct, a newly launched debit card for Lyft drivers. It tests choosing a goal and headline metric, defining an adoption funnel, and pairing engagement and business metrics with guardrails for payouts, fraud and support.

Lyft logo
Lyft
Apr 17, 2025
mediumProduct ManagerOtherAnalytics & Experimentation
0
0

Lyft has just launched Lyft Direct, a debit card for its drivers, and you are the product manager who owns it. Build the product's first dashboard: decide what it should track, define the key metrics, organize them, and explain how the team would use the dashboard in the weeks after launch.

Clarifying Questions Guidance

  • What does the card offer drivers at launch: faster access to earnings, fee-free cash-out, rewards, or something else?
  • Who will read the dashboard: the team running daily launch operations, leadership reviewing the business weekly, or both?
  • Is the card open to every eligible driver from day one, or rolling out to some markets or driver groups first?
  • Is the card issued by a banking partner, and which account, transaction and fraud data will Lyft receive from that partner?

What a Strong Answer Covers Guidance

  • A stated goal for the card, for drivers and for Lyft, from which the metrics follow.
  • A funnel from eligibility through application, approval, activation and repeat use, with precise metric definitions.
  • One headline metric with a clear definition, plus supporting metrics for engagement, value to drivers and business impact.
  • Guardrails for trust and risk, such as payout failures, card declines, fraud and support contacts.
  • How the dashboard is organized, segmented and used after launch, including the decisions it should drive.

Follow-up Questions Guidance

  • Many drivers activate the card, but most move their money off it the same day. What would you investigate, and what would you change?
  • How would you find out whether the card makes drivers stay with Lyft longer, given that the drivers who sign up first are already the most committed?
  • Leadership wants three numbers each week. Which three, and why?