Passive surface wave analysis uses ambient vibrations to understand the subsurface characteristics, particularly capturing the shear-wave velocity profiles with depth. The frequency-wavenumber (f-k) analysis, chosen for its advantages for passive MASW surveys, assumes plane waves traveling across the sensor array. It records energy distribution in a vectored wavenumber representation, eventually leading to the dispersion images. Field surveys were conducted at IIT Guwahati using circular arrays with the post-processing of the collected records being carried out by an open-source Geopsy (v3.4.2) software. Varying time durations selected for post-processing revealed noticeable changes in the propagating energy distribution, thereby highlighting the importance of optimal windowing of the temporal data. The methodology for extracting dispersion curves using several key parameters, influential toward the resolution of dispersion image obtained from a f-k analysis, is also presented to finally arrive at best possible shear-wave velocity profiles at the test site.