  A dynamical process that takes a random time to complete, e.g., a chemical
reaction, may either be accelerated or hindered due to resetting. Tuning system
parameters such as temperature, viscosity or concentration, can invert the
effect of resetting on the mean completion time of the process, which leads to
a resetting transition. Though the resetting transition was recently studied
for diffusion in a handful of model potentials, it is yet unknown whether the
results follow any universality in terms of well-defined physical parameters.
To bridge this gap, we propose a general framework which reveals that the
resetting transition is governed by an interplay between thermal and potential
energy. This result is illustrated for different classes of potentials that are
used to model a wide variety of stochastic processes with numerous
applications.
