What a Lyft driver dashboard should show, and how to tell whether it works

Lyft wants to build a dashboard for its drivers. Design the dashboard, then explain which metrics you would use to judge whether it is a success. ### Clarifying Questions - Is the dashboard for drivers to use themselves in the driver app, or an internal view that Lyft teams use to monitor drivers? - Is there a business problem behind it, such as drivers leaving, too few drivers at busy times, or support contacts about pay? - Which drivers matter most: new drivers, full-time drivers, or people who drive occasionally or also drive for other platforms? - Should I design for one country, such as the US, or for every market Lyft serves? ### Part 1 — Design the dashboard Decide what the dashboard is for and which drivers it serves, describe the views or modules it would contain and how a driver would use them, and say what you would build first. ```hint Follow a driver's week List the decisions a driver makes before, during and after a shift, and ask which of them the dashboard could make easier or better informed. ``` #### What This Part Should Cover - The dashboard's purpose for drivers and for Lyft, and the driver segment it targets - Driver pain points it addresses, ranked - Concrete modules with a prioritized first version, designed around how and when drivers can safely look at it ### Part 2 — Measuring success Which metrics would tell you the dashboard is working, and how would you measure its effect? ```hint Separate use from impact Distinguish signals that drivers use the dashboard from evidence that it changes what they do and earn, and think about how you would attribute that change to the dashboard. ``` #### What This Part Should Cover - A chain of metrics from discovery and usage through behavior change to business outcomes - A primary success metric with guardrails - A measurement design that handles self-selection and marketplace effects ### What a Strong Answer Covers - A stated interpretation of who uses the dashboard, with a purpose that links driver value to Lyft's marketplace - Consistency between what the dashboard shows and how its success is measured - Awareness of the two-sided marketplace: effects on riders, on other drivers and on Lyft's costs - Risks to driver safety and to marketplace balance, with mitigations ### Follow-up Questions - If drivers who use the dashboard earn more, how would you show that the dashboard caused it? - What would you deliberately leave off the dashboard, and why? - How would the design change for drivers who also drive for a competing platform?