Most important thing to remember is that the utilities should be normalized per respondent. That gives each respondent essentially the same "scale factor" or magnitude of the parameters.
There are multiple ways to do this. You can export the utilities from SMRT, through Run Manager + Export (and then choose the "Zero-centered Diffs" option to export the utilities. Zero-centered diffs subtracts the mean utility within each attribute, causing each attribute to have utilities that sum to zero (this really should automatically occur in most conjoint analysis approaches, such as CBC). Then, Zero-centered diffs scaling procedure multiplies all the zero-centered utilities by the constant for each individual such that the sum of the differences between min and max utilities within each attribute, across attributes, averages 100 per attribute.
There are other ways to normalize the parameters as well to give each respondent the same scaling. For example, one could find the multiplicative factor that gives each respondent the same standard deviation across all utilities.