Newton-Raphson method has always remained as the widely used method for finding simple as well as multiple roots of nonlinear equations. In the past years, many new methods have been introduced for finding multiple zeroes that involve the use of weight function in the second step, thereby, increasing the order of convergence and giving a flexibility to generate a family of methods satisfying some underlying conditions. However, in almost all the schemes developed over the past, the usual way is to use Newton type method at the first step. In this paper, we present a new two-step optimal fourth-order family of methods for multiple roots (m > 1). The proposed iterative family has the flexibility of choice at both steps. The development of the scheme is based on using weight functions. The first step can not only recapture Newton's method for multiple roots as special case but is also capable of defining new choices of first step. We compare our methods with the existing methods of same order with a real life application as well as standard test problems. From the numerical results, we find that our methods can be considered as a better alternate for the exiting methods of same order. %Finally, dynamical study and stability analysis is also given to explain the dynamical behavior of the new methods around the multiple roots.