  In this paper, we propose a new parametrization of dark energy based on the
$Om(z)$ diagnostic tool behavior. For this purpose, we investigate a functional
form of the $Om(z)$ that predicts the popular dark energy dynamical models,
namely phantom and quintessence. We also found the famous cosmological constant
for specified values of the model's parameters. We employed the Markov Chain
Monte Carlo approach to constrain the cosmological model using Hubble, Pantheon
samples, and BAO datasets. Finally, we used observational constraints to
investigate the characteristics of dark energy evolution and compare our
findings to cosmological predictions.
