A system for simulating a vitality metric, the system comprising a computing device, wherein the computing device is configured to retrieve, from a user, a biotic extraction, generate a vitality metric, using a machine-learning model, wherein generating a vitality metric further comprises training a machine-learning model with training data corresponding to measuring biotic parameters present in the biotic extraction data and determining a metric that is a summation of all individual biotic parameters present in the biotic extraction data. Computing device determines a simulated metric, using a simulation machine-learning process, wherein the simulation perturbs a biotic parameter present in the vitality metric, wherein a biotic parameter is an element of numerical data relating to an element of data present in the at least a user biotic extraction. Computing device provides, to a user, a vitality metric and at least a user effort that resulted in a simulated metric.