Growth Plan to Win Back a Carpooling App's Drivers and Riders After COVID Lockdowns

Quick Overview

A growth strategy question for a social carpooling app whose daily users, rides and revenue collapsed under COVID-19 lockdowns. It tests diagnosing why drivers and passengers stay away after reopening, rebuilding matches route by route, earning trust through safety measures, and choosing the right recovery metrics.

Growth Plan to Win Back a Carpooling App's Drivers and Riders After COVID Lockdowns

Company: BlaBlaCar

Role: Product Manager

Category: Product Design & Strategy

Difficulty: medium

Interview Round: Other

You are the product manager responsible for growth at a social carpooling app. COVID-19 lockdowns have been in force, and the app's key numbers (daily active users, rides and revenue) have fallen to almost nothing. Restrictions are now starting to lift. What strategy would you use to rebuild momentum and get users back on the app? ```hint Two sides, one route A carpool only happens when a driver offering seats and a passenger want the same trip at the same time. Ask what keeps each side away after reopening, and where a returning user is most likely to find a match on the first try. ``` ### Clarifying Questions - Is the app mainly for daily commutes within a city, or for longer trips between cities? The two come back for different reasons. - Are restrictions lifting everywhere at once or region by region, and do the new rules limit passengers per car or require masks? - How does the app make money: a fee per booked seat, a fee per trip, or subscriptions? - What budget is available for incentives such as driver bonuses or passenger discounts? ### What a Strong Answer Covers - A diagnosis of why drivers offering seats and passengers stay away after reopening: health fears, new rules, changed routines and an empty marketplace that makes matches fail - Segmentation of lapsed users, regions and routes by readiness, and a reasoned choice of where to restart first so that matches succeed - Concrete, sequenced moves on safety and trust, re-activating past users and rebuilding supply on priority routes - Recovery metrics beyond DAU, such as completed shared rides and match rate, with guardrails on safety incidents and incentive cost - Risks such as a renewed lockdown or lasting remote work, and how the plan adapts ### Follow-up Questions - If many of your commuters keep working from home for good, how does the strategy change? - A region goes back into lockdown two months after reopening. What do you do with the users you just won back? - Passengers return faster than drivers. Which levers do you pull, and what do they cost?

Overview: A growth strategy question for a social carpooling app whose daily users, rides and revenue collapsed under COVID-19 lockdowns. It tests diagnosing why drivers and passengers stay away after reopening, rebuilding matches route by route, earning trust through safety measures, and choosing the right recovery metrics.

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BlaBlaCar
Jul 25, 2024
mediumProduct ManagerOtherProduct Design & Strategy
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You are the product manager responsible for growth at a social carpooling app. COVID-19 lockdowns have been in force, and the app's key numbers (daily active users, rides and revenue) have fallen to almost nothing. Restrictions are now starting to lift. What strategy would you use to rebuild momentum and get users back on the app?

Clarifying Questions Guidance

  • Is the app mainly for daily commutes within a city, or for longer trips between cities? The two come back for different reasons.
  • Are restrictions lifting everywhere at once or region by region, and do the new rules limit passengers per car or require masks?
  • How does the app make money: a fee per booked seat, a fee per trip, or subscriptions?
  • What budget is available for incentives such as driver bonuses or passenger discounts?

What a Strong Answer Covers Guidance

  • A diagnosis of why drivers offering seats and passengers stay away after reopening: health fears, new rules, changed routines and an empty marketplace that makes matches fail
  • Segmentation of lapsed users, regions and routes by readiness, and a reasoned choice of where to restart first so that matches succeed
  • Concrete, sequenced moves on safety and trust, re-activating past users and rebuilding supply on priority routes
  • Recovery metrics beyond DAU, such as completed shared rides and match rate, with guardrails on safety incidents and incentive cost
  • Risks such as a renewed lockdown or lasting remote work, and how the plan adapts

Follow-up Questions Guidance

  • If many of your commuters keep working from home for good, how does the strategy change?
  • A region goes back into lockdown two months after reopening. What do you do with the users you just won back?
  • Passengers return faster than drivers. Which levers do you pull, and what do they cost?