Assess students' ability to design a formal dynamic pricing and incentive mechanism for a two-sided digital platform that maximizes long-term profit and social welfare under multi-homing, endogenous network effects, and entrant competition. Require specification of the economic model (agents, timing, preferences, cost functions, entry dynamics), equilibrium concept (e.g., Markov perfect/subgame-perfect Nash in a dynamic game), solution approach (analytical solution, comparative statics, numerical simulation/calibration), welfare and firm-objective metrics, incentive-compatibility and budget constraints, robustness checks, and a concrete implementation strategy (algorithms, data needs, experimental or regulatory deployment). Expect derivations, simulations, and clear policy/managerial recommendations.