The Questions section of your Dashboard is where you can view statistical breakdowns of your Survey Responses by the questions contained in your Survey Templates.
Every question in AskNicely has what is called a "Question Key" (read more about them here). In the screenshot below, you can see the question, "If you could change one thing about our service, what would it be?" has the Question Key of "change_one_thing."
Every unique Question Key will show up when you click on Dashboard > Questions, and view "All" questions.
Important Reminder: If you have multiple Survey Templates,
but you want to report on a specific question in a specific
Survey Template, make sure that it has its own unique key!
Question Keys do not pay attention to which Question belongs
to which Survey Template. Make sure your Question Keys are
unique when they need to be reported on separately from other
In the screenshot below, you can see all Questions that have at least 1 response provided:
From the screenshot above three lines below "All", we can also see that a new line item has been created in the Questions section - "Change One Thing." Clicking into this "Change One Thing" question will show you all existing response data for this particular question.
Finally, if you click the "ACTIONS" dropdown, you have the ability to rearrange your questions on the Dashboard, or Archive the Question if it is no longer relevant.
Advanced Feature: Sentiment Analysis
Every Survey Template must have at least one "Open" question with the Question Key of "comment." If you have additional "Open" questions in your Survey Template(s), these questions will unlock Sentiment analysis.
This is a complex algorithm that analyzes the answers provided to your Open questions - they give you a sense of the overall "vibe" of the response, answering the question, "For those who responded, was their overall feeling Positive, Neutral, or Negative?" This article talks through how Sentiment Analysis calculations are typically made; this Quora thread talks through the generally accepted accuracy of Sentiment Analysis.
Taking the example below, a customer asked, "What did we miss that you expected us to do?" Sentiment analysis shows us the 13% of the responses had an overall positive sentiment; 71% were more neutral, and 16% were negative.
We would love to hear your feedback on the entire Dashboard > Questions feature set - please consider joining our User Research Panel to share your thoughts!