Nowadays thermal environment studies are gaining a great importance in workplaces design once individuals spend most of their time in these spaces. In this paper two case studies are presented, one in an industry affected by hot thermal environments and other in an industry which regards cold thermal environments. In both cases, the EsConTer index and PPD index were applied through MatLab algorithms that generated thermal pattern maps to understand the most vulnerable areas regarding thermal stress as well as know workers dissatisfaction. The results suggested EsConTer index as a great thermal sensation predictor which should be further valorised by industry to control thermal environments in order to satisfy most of the workers.