Diagnose Why Lyft Is Losing Drivers in a Single City

Lyft is seeing drivers drop off its platform in one city. As the product manager asked to look into it, explain how you would figure out what is happening and why, and what you would do once the cause is clear. ```hint Pin the number down, then take it apart Agree on exactly which driver number is falling before you guess at causes, then split that number into the pieces that add up to it so you can see where the loss originates. ``` ### Clarifying Questions - Does "dropping out" mean fewer new drivers joining, existing drivers going online less often, or drivers leaving the platform for good? - How large is the decline, when did it start, and did it arrive suddenly or build up over weeks? - Is the decline limited to this city, or are nearby cities and similar markets seeing it too? - Over the same period, have rider requests in the city held steady, risen or fallen? ### What a Strong Answer Covers - A precise definition of the falling driver metric, agreed before any diagnosis begins - A check that the decline is real rather than a data or definition artifact, and larger than seasonal or normal variation - A breakdown of the metric and a segmentation of drivers that localizes where the loss comes from - Candidate causes spanning Lyft's own changes and conditions outside its control, including the rider side of the marketplace, checked in a deliberate order with the evidence each one needs - A response matched to the confirmed cause, with the rider-facing effects to watch in the meantime ### Follow-up Questions - Suppose the loss is concentrated among drivers who joined in the last few months. What would you investigate next? - If a competitor started offering drivers in this city higher guaranteed earnings, how would you decide whether to respond, and how? - What early-warning signal would you put in place so a decline like this is caught sooner in other cities?