Context and motivation: Industry 5.0 emphasizes human-centric, resilient, and sustainable practices, but sustainability assessment is challenging due to limited organizational data. Discrete-Event Simulation can generate synthetic data reflecting business dynamics in virtual environments. Question/problem: While frameworks for simulation exist, there is no structured method to define what to simulate in alternative scenarios, especially regarding relevant data attributes for decision-making. Principal ideas/results: This paper extends the iStar modeling language to support scenario definition and synthetic data generation for “what-if” analysis. Applied to an order management process, the extension helps evaluate different packaging policies. Results show that combining simulation with goal-oriented modeling improves sustainability assessment. Contribution: The main contribution is a framework linking simulation and goal modeling to enable data-driven decisions in Industry 5.0, adding practical value for sustainability-focused analysis. Limitations include the need for testing in more cases and contexts, as different environments may pose unforeseen challenges.