You work on a delivery marketplace (customers, merchants, couriers). The company is considering launching a **“bike delivery”** capability in a subset of cities. The product idea: in eligible areas, the system can match some orders to bike couriers (or show customers a “bike delivery” option) to improve delivery efficiency and/or reduce costs. However, bike delivery could also change delivery times, cancellation rates, courier supply, and customer satisfaction. ### Prompt Design an experiment (or quasi-experiment) to evaluate whether enabling bike delivery is beneficial. In your answer, cover: 1) **Goal and decision**: what decision will the experiment inform? 2) **Primary metric** and why it best matches the goal. 3) **Secondary / guardrail metrics** (pick a few) and how they trade off. 4) **Unit of randomization** (user, order, courier, geo) and rationale; discuss interference/network effects. 5) **Experiment design**: treatment/control definition, eligibility, ramp strategy, duration. 6) **Key biases/confounders** to watch (selection, seasonality, supply constraints, Simpson’s paradox, etc.) and mitigations. 7) **Analysis plan**: how you would estimate impact (ITT vs TOT), handle non-compliance, and check heterogeneity. 8) **Power/MDE**: what inputs you need to size the test and how you’d think about MDE.