The major factor that defines the right analytical technique is 1. purpose, 2. number of variables in the study, and lastly 3. type of data collected (metric or non-metric).

If you use likert scale or nominal likert you can use SPSS and statistical analyses( factor, clustering etc.)

If every answers arent measured by scale you should use qualitative methods such as coding or content analyse

I will recommend that the outliers be clearly identified. Exploratory Factor Analysis may be used to understand the inter-relationships between different items in the multi-item questionnaire used to identify the items/variables that need to be excluded from further analysis.

I agree with colleagues, shall add, decision tree analysis can be pretty good, from the type of questions, I assume data is categorical (non-matric), the last one seems likert, cluster can also be a good option.

You can use Google Analytics tool to understand user behavior

But the process will be expensive