Diagnose a 20 percent drop in activation for Marketplace

Problem Statement Description

Product context: DoorDash is a local commerce and delivery platform; its products include restaurant delivery, DashPass, grocery and retail delivery, merchant tools, and dasher tools.

DoorDash Marketplace has seen a 20 percent drop in consumer activation. In this context, activation should be treated as the point at which a new or returning consumer reaches a meaningful first value milestone, such as completing a first successful order after signup, install, or reactivation entry point. Your task is to diagnose what may be causing the decline and how you would structure the investigation.

The scenario sits within a multi-sided local commerce marketplace where consumer demand, merchant availability, delivery reliability, pricing, promotions, Dasher supply, app experience, and competitive pressure can all affect activation. The drop may be caused by a real product or marketplace issue, a measurement problem, a traffic mix shift, or an external market event.

You should approach this as a product RCA: frame the anomaly clearly, identify where the funnel is breaking, isolate affected cohorts and surfaces, validate whether the data is trustworthy, generate hypotheses, and describe what evidence would confirm or reject each one. Avoid jumping directly to fixes before establishing the root cause.

The experience should consider:

- The exact activation definition, denominator, time window, and comparison baseline used to calculate the 20 percent drop

- Funnel stages from acquisition or signup through store browsing, cart creation, checkout, payment, order placement, and successful delivery

- Segmentation by geography, platform, app version, acquisition channel, new vs returning consumers, cuisine/category, merchant type, and promotion eligibility

- Instrumentation checks for event logging changes, attribution issues, delayed data, experiment exposure, and dashboard definition changes

- Marketplace health factors such as restaurant availability, delivery ETA, fees, minimum order values, Dasher supply, cancellations, and out-of-stock or closed-store rates

- External and competitive factors including seasonality, local events, weather, pricing changes, competitor promotions, or regulatory changes

- Evidence needed to distinguish demand-side friction from supply-side constraints, pricing sensitivity, product bugs, or traffic quality changes

- Mitigation, monitoring, and prevention plans once the likely cause is identified

The goal is to demonstrate a structured, evidence-driven diagnosis of the activation decline for DoorDash Marketplace consumers, showing how you would narrow the problem, prioritize investigation paths, communicate risk, and guide the team toward confident corrective action.