Marketplace and Multi Stakeholder Considerations Questions

This topic assesses understanding of multi sided platform dynamics and how machine learning decisions affect multiple stakeholder groups simultaneously. Candidates should be able to describe how to balance competing objectives for customers, couriers or drivers, and merchants, how optimizations on one side can create negative externalities on another, and how to design metrics and experiments that surface cross side effects. Discussion should include incentive alignment, pricing and promotion effects, simulation or microsimulation approaches, fairness signals, guardrails, and long term platform health considerations. Interviewers look for evidence of anticipating gaming or feedback loops and proposing measurement and mitigation strategies.