Scenario:

The following shows an example of data collected from a customer. Similar data has been collected for $100$ customers over the past $6$ months on all new projects $60$ days after launch.

Questions Customer $1$ Answers

#$1$ Rate the service provided by your Client Manager? $($out of $5)4$

#$2$ Rate the timeliness of the delivery? $($out of $5)4$

#$3$ Rate the quality of the deliverables? $($out of $5)3$

#$4$ Rate the timeliness of any issue resolutions? $($out of $5)4$

#$5$ Rate the ability to react to specification changes? $($out of $5)3$

#$6$ Do you have any other feedback about the project? The project was very slow to start. The contracting process was slow and the communication during the contracting process was difficult. Requirements were not well understood and took a long time to clarify and launch project.

#$7$ How likely are you to recommend us to others? $($Very Likely, Likely, Undecided, Not Likely, Will Not Recommend$)$ Very Likely

Question $1$: Why and how may the company choose to use qualitative analysis on this data? What data and benefit would they gain?

Question $2$: Why and how may the company choose to use quantitative analysis on this data? What data and benefit would they gain?