In this book, the author shows how to overcome one of the major drawbacks for traditional sensitivity analysis, the absence of user interaction with sensitivity analysis, by introducing visual sensitivity analysis approach. Visual sensitivity analysis opens the doors for non-expert users to use traditional sensitivity analysis indirectly without prior knowledge to use and interpret traditional sensitivity analysis results. To support visual sensitivity analysis approach, the author applied it to a real estate prediction system offering the user the ability to interact visually with property features by applying his/her preferences. In the system, locating a property is easier than before because it is offered in visual format to simplify the property selection process which is accomplished by using an abstract geographical map that shows important landmarks like train stations and others to guide the user while locating the desired property. Moreover, individual property prediction results, were compiled and presented by means of scatter plots to be analysed by expert users.