We study the impact of architectural simplifications to the design of deep Reservoir Computing (RC) models. To do so, we analyze the effects of shaping the structure of reservoir matrices, reducing the complexity of the deep recurrent network to a minimal setup. Experimental results point out the benefits of a particularly simple deep RC architecture with ring topology in each reservoir layer and deterministically constructed input and inter-reservoir connections.