Similar utility scores in my cluster (MaxDiff)

Hi Everyone, I am currently conducting a MaxDiff exercise, and used the utility scores to create clusters (K-Means). I notice that in one of my cluster, all respondents have very similar MaxDiff utility scores across all the features/items tested in the survey. Fyi, the data is cleaned and we have performed the fit statistics cleaning beforehand.

To give you more context we are testing around 50 features/items in the MaxDiff, and all the respondents that belong to that specific cluster have on average ~2% utility for each of the 50 features...

Does that mean that our respondents that belong to that cluster really like every features, or does that mean that they are totally indecisive? Or anything else?

Thanks all for the help!