Factors in organisational processes form a convoluted ecosystem: concurrent activities, delayed information and interdependent decisions make anticipating and implementing policy changes difficult. This thesis investigates whether modelling techniques used for discrete-event systems, commonly used in the field of embedded systems and computer science, can expose design trade-offs of a human-centred process. A case-inspired policy-negotiation problem is presented as a coloured Petri net simulation, in which a central leader iteratively proposes policies on which agents provide feedback. The configurable model takes into account organisational scale, agent preference heterogeneity, change in agent preference, policy budget constraints, unequally weighted feedback, stochastic delays and leader-imposed deadlines. A replicated two-level factorial experiment estimates the main and two-factor interaction effects on agent response-time spread, completion time, response rate and policy satisfaction. The simulation results indicate that delay parameters dominate timing outcomes, deadline leniency increases participation at the cost of completion time, and greater agent-preference dynamics are associated with substantially lower satisfaction. The resulting model functions as a proof of concept for using Petri nets to characterise coordination dynamics. It is not an empirical representation and cannot be used to predict organisational outcomes without validation in practice. ... Read more