This tool does a slightly different analysis than @RISK's — we use a different method under-the-hood that can account for interaction effects between variables, whereas I think @RISK performs one-way sensitivities. But it's essentially the same use-case, yes :)

@RISK is pretty cool and does a lot of important things that spreadsheets alone don't do, like working with distributions + monte carlo instead of single values, and sensitivity analysis. It has a pretty steep learning curve, though, and inherits all the issues of the spreadsheet paradigm.