Little attention has been put to the problems of the Time Distortion in productivity, where time distortion is the discrepancy between the objective or physical time and the subjective or cognitive time. Cognitive time distortion is a source of various performance challenges in organisations and its operations, including economic inefficiency, unsatisfactory output quality, and human not well-being. The output-input ratio of productivity may be understood in terms of these two kinds of time. Input that corresponds to physical time and the output that is based time assessments. The current conventions of economic organizations – both in practice and in theory – assume the physical time to be the only kind of time. Based upon findings from biological and mental sciences this assumption of physical time only is challenged. We establish therefore formals relation between the physical time and the cognitive time, and then between that temporal relation and the economic performance of an organization. One implication is that calculus that accounts only for one kind of time, the physical, disregards from errors based on cognitive time assessments by human agents, thereby forming the ground for large errors in performance measurement. An attempt to remedy this is made here by introducing a novel method for the conception and analysis of productivity, where human agent’s cognitive time distortion is accounted for. The formal elaboration of the productivity and efficiency metrics presented here is based upon a workload equation and the conventional total profit equation; however both are formulated to account for empirical findings of the probabilistic and asymmetric character of cognitive time distortion, on individual level as well as on group level. The novelty of the workload equation and the Total Profit Equation comes from its ability to predict of true working time, by introducing new mathematical mechanisms as lever effect between economy, workload and cognitive time distortion. Consequently, we suggest that the fundaments of productivity analysis need to be modified with regard to the measurement of time and value in workload and profit. The here introduced model for productivity analysis may have significant impact for managers.