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Glossary

Feedback tagging

Also called: feedback categorization, feedback coding

Definition

Feedback tagging means labeling each piece of feedback with a topic, like bug or price, so you can count themes.

Untagged feedback is a long pile of text. Tagged feedback is data. Once each note has tags, you can see which themes are growing, which ones hurt paying users, and which ones are fading.

A simple setup uses three kinds of tags. A type (bug, request, praise, price or question). A theme (the part of the product it's about). And a mood (good, mixed or bad). Start with 8 to 12 themes, and write a one-line meaning for each.

By hand or with AI

You can tag by hand in a spreadsheet when you get only a few notes. With hundreds of notes a week, AI tagging saves a lot of time. Either way, check a sample now and then to keep the tags honest.

Example

Note: "The new update keeps logging me out, please fix!"

Tags: type is bug, theme is login, mood is bad.

  • Review sentiment analysis Review sentiment analysis sorts reviews by the mood they show, such as good, bad or mixed.
  • Voice of the customer (VoC) Voice of the customer (VoC) means gathering what customers say, in their own words, and using it to guide your choices.
  • Feature request A feature request is a message from a user asking for something your product can't do yet.

Learn more

Updated by the Synthiya team. See all terms.

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