Feedback topics help you categorize received survey responses into main areas concerning your business and further analyze how many positive, neutral, or negative responses fall into a particular topic.
Topics can be assigned manually or automatically* by our AI-powered sentiment & text-analysis algorithm.
*If your subscription includes this feature.
However, the use of irrelevant or too-narrow topics might make your data inaccurate. This is why in this article, we will cover best practices and guidelines that will help you identify relevant feedback topics for your survey responses to achieve accurate survey data analysis.
The main rule: Topics should be neutral nouns.
When creating a new topic, make sure it's a noun and avoid using adjectives. This is because topics applied to a survey response will always have a sentiment associated (positive, neutral, negative). So your "Product" topic may have a positive or negative sentiment assigned, based on the respondent's feedback.
Here are some bad examples you should avoid:
Good product
Bad service
Confusing UI
Hard to use
Too long
Amazing support
And these are good examples:
Product (or Product quality)
Cost (or Billing, Pricing)
Order
Customer service
Support (or Support turnaround time)
Usability