Multi-channel analysis of surface waves (MASW) is the most popular method to estimate the shear wave velocity (Vs) profile of soil and subsequently, the seismic site response. Nevertheless, the inversion process to retrieve the Vs profile from MASW testing is inherently ill-posed and non-unique, inducing considerable uncertainties in the results. Also, using nonlinearity curves without knowing the soil type leads to further uncertainties in site response analysis (SRA) results. Despite several efforts by researchers, the uncertainties in MASW testing and subsequent SRA still remain a matter of obvious concern in earthquake engineering. In this study, an attempt has been made to investigate how these uncertainties can be tackled by utilizing a-priori information from geotechnical investigations. The type of a-priori information used in this work is the number and thickness of soil layers, soil type, and index properties. Initially, a numerical study was carried out using simulations of MASW and SRA for nine possible types of idealized Vs profiles using three different types of earthquake motions. Then, a field MASW test, borehole drilling, sampling and SRA were carried out at a site in Roorkee, India. Statistical properties of the results without and with a-priori information were determined and compared. It was found that for any type of Vs profile or seismic motion, the use of a-priori information significantly mitigates the inversion uncertainty in MASW and SRA, thereby remarkably enhancing the reliability and accuracy of the MASW and SRA results. This work also provides a quantitative assessment of the uncertainty reduction using a-priori information for different possible site and earthquake scenarios, which would help understand the need for a-priori information with MASW testing.