Decision-makers in the industry are facing increasingly complex chal-lenges and need to provide solutions complying with several functional and non-functional requirements. Decision-making processes should involve and allow collaboration of multidisciplinary teams, sharing knowledge and data to identify optimal solutions and deliver the best value for the customer. At the same time, the metaverse era offers new possibilities to face this complexity. In particular, Extended Reality technologies allow to exploit a virtual world mirroring the real one, both in the current conditions and possible future scenarios. This opportunity is given by the use of Digital Twins and the integration of real-world data—accessed through IoT tech-nologies—and simulation data—from new designs and configurations’ models. In this work, we present a framework to integrate different decision drivers, actors, and agents in the design of collaborative virtual environments for decision-making. Then, we present a case study applying the framework to the current needs of a construction equipment manufacturing company. Finally, we discuss results with the industrial partner, identifying potential advantages and issues of the virtual environment in future development, as well as future challenges in the field.