Decision making processes are becoming increasingly collaborative and multi-disciplinary in nature. Aiming to augment the quality of decision making in contemporary complex settings, this paper reports on an innovative approach that offers a range of alternative - but meaningfully interrelated - visualizations of the context under consideration. These visualizations incorporate suitable reasoning mechanisms that exploit human and machine understandable knowledge to facilitate the underlying what-if analysis and aid stakeholders towards reaching consensus and, ultimately, making a collective decision.