I have survey responses that I am trying to visualize.
We have customers and we ask how likely are they to recommend the company. Some customers fill out the survey more than once as they continue to do business with the company a few months later. I want to track how or if any responses changed.
Full name month/year Likely to recommend (1-10)
John Doe Jan 18 10
Alex Smith March 18 9
John Does October 18 8
Alex Smith Jan 19 9
From this list, I want a way to visualize repeat respondents and if their scoring has changed. Based on my fake data, John was less likely to recommend whereas Alex said the same.
A possible solution only shows a filter that shows names of people that have two different ranking scores. So we can see which customer has changed their opinion from a previous date.
Or can I have a scatter plot with the dates by month and year on the x-axis and likely to recommend on the y-axis and customers each has a unique color to distinguish themselves? But only show customers who have taken the survey more than once.
I'm sorry if this is confusing but I'm trying to think of an easy way to navigate changes in likelihood to recommend on a customer level. But I want to just focus on customer who has taken the survey more than once.
