I am analysing the following data and am not sure how to proceed with the statistics, so any help will be highly appreciated.

The data consists of a decent number of patients who underwent a procedure. They have been asked to fill out a questionnaire in which they were to rank their satisfaction on a Likert like scale (1-5). Also, a medical assistant rated the usability of the device during the procedure per patient (also Likert scale). Later, the product was also rated on a Likert scale in terms of quality, performance and such.

I have tested for normality and the data is mostly not normally distributed. I have correlated Spearman rho and found that some variables were weakly to moderatly correlated among each other and with variables like weight and age.

However, I am unsure how to further report the data in a statistically correct manner. Usually, a Kruskal Wallis test etc. would be performed to show that groups are significantly different, and initially I tried to do that. But I am not sure this even makes sense with my data (as I don't really have groups to begin with, but rather a number of seperate cases that rated something; we did not compare the procedure to other procedures nor form subgroups of patients).

However, it seems I am missing something.

What we want to show with the data is that 1) the patients are generally satisfied with the product, quality is high etc (which can be determined simply by descriptive statistics),

2) that satisfaction, usability and such are not independent from each other, meaning, e.g. procedures that had high ratings for performance should also have high ratings for quality (is this correctly demonstrated with the correlation via Spearman test and how can I plot the correlations on a graph? For parametric data it seems that usually a scatterplot between two variables would be used, but can I do the same if I used Spearmans rho?

and 3) that the quality of the procedure is linked to the other variables. Should I perform ordinal regression for this? Or is this already covered by the correlations?

Is the Kruskal Wallis test needed/ Can I even use it on my sample?

Thank you so much!