Customer Survey Analysis
we turn your open-ended text into actionable charts
Have you ever done a customer survey with interesting questions you desperately needed actionable answers to such as…
What’s the number one thing you wish we would’ve done differently?
How satisfied were you with your experience? Why?
How well did our product solve your problem? How did it solve it?
Only to get the results back as a confusing, dull spreadsheet with tens, hundreds, or even thousands of text boxes to sort through? How do you extract meaning from all those comments? How do you assess which things you should execute on because they would most move the needle for your business?
With AmeliorMate, you no longer have to guess. For only $2.00 per response, we wade through all that text for you and turn it into clear, actionable, and visually-appealing charts and reports. Get started by contacting us below or keep reading to see a demo of our work in action.
Contact us now for a 50% discount on your first report!
Have you ever collected confusing, boring, raw text data you didn’t know what to do with?
Have you ever wished you could extract the most important points from your data with a snap of your fingers?
Now you can, with AmeliorMate
How it works, in two easy steps:
Step #1: frequency tables
The first step is to sort your data into themes and create frequency tables. When you do a survey with closed-ended questions this is straight forward. For example:
Did the product solve your problem? Yes or No?
Would yield a frequency table stating
X number of respondents (A%) said Yes.
Y number of respondents (B%) said No.
But if you ask how your product solved the problem, you would get a big boring spreadsheet of text-box responses. AmeliorMate takes those messy, text-box answers and turns them into themes just as clear and simple (though more informative) than closed-ended questions. For example:
X number of respondents (A%) said the product fixed their expected problem in a straight-forward way.
Y number of respondents (B%) said the product fixed their expected problem in a counter-intuitive way you didn’t know the product could be used to do.
Z number of respondents (C%) said the product fixed an unexpected problem you didn’t even know existed because they are a group you were unaware of using your product in an “off-label” way.
Step #2: charts and reporting
The second step is to turn those frequency tables into visually appealing charts and put them into a custom report for your specific needs. Though reports normally uncover counter-intuitive findings you would never have thought to ask about, we also make sure to find out ahead of time what your biggest questions and obstacles are so we can tailor our analysis to your needs.
At AmeliorMate, we pride ourselves on making your data as clear, useful, and actionable as possible.