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Only administrators and editors can create/modify/delete a theme.
Choose topics that you’d like to track, if available, Feedier will group text responses that would fit under this topic type.
If you click on view the topic, you will only see the words of your topic appear in the ranking table, keyword cloud and text answers.
Topics will allow you to look for certain group of words and themes. For example, you can create a topic on Product Bugs and add words related to that topic.
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If you want to look for a group of words, you can add the signs && in the search. To look for company excellence, you need to type in company&&excellence. The search will be showing every comment that contains the word company AND excellence.
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The Text Analysis module is comprised of three distinct components: the Responses per Topic component, the Sentiment Trend by Responses component, and a third component with three features: Summarisation by Eureka AI, Topic & Responses Tables, and Individual Topic Visualisation.
Responses per topic
The first component starting from the left is the Responses per topic component.This component consists in two different views of the responses of topics.
In the first tab we see a breakdown by the 10 topics with more volume considering the global Filters and the timeline dropdown (1)
How it works
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Dropdown timeline to decide the time period to select the 10 topics to display.
This graph consists of a pie chart breakdown of the 10 topics
Legends of the graph
In the second tab we will see the same information but in an overtime graph
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Dropdown timeline to decide the time period of the x-axis and to select the 10 topics to display.
This graph consists of a overtime chart of the 10 topics
Legends of the graph
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Sentiment trend by responses
The second component from the left is the Sentiment Trend by Responses. This component features an overtime graph displaying the sentiment trend (positive, negative, and neutral) along with its volume.
How does it work
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Dropdown timeline to decide the time period of the x-axis.
This graph consists of a overtime chart of the sentiment trend.
% of the total (based in global filter and dropdown timeline) of each sentiment score.
The topics with more volume related to the sentiment.
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Tables & Summarisation
The next component we will discuss consists of three parts: an Eureka AI summary with insights of the text answers in your team, that also suggests five topics, a Topic Table offering valuable insights for each topic, and a Responses Table where you will be able to see each text answer and assign manually topics to each.
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Eureka AI Summary
This component is the (1) of the previous image, after selecting the “Generate” button we will have the following.
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Sentiment score of the text answers used to create the summary
Regenerate button to create a new summary
Eureka AI generated text
Suggested topics
Topics table
A table with a view of all the topics of the team.
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Topics column → with the sentiment score badge
Sub topics column → with the sentiment score badge
The search bar to search for topics and sub topics
Responses column
Individual Visualisation View → we will see this after
3 dots
Edit topic
Delete topic
Amount of topics
Pagination
Individual Topic Visualisation
In this section, you will be able to explore various insights for each topic.
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It consists of five different insights.
Breakdown of the topic by sentiment → % of responses that are positive/neutral/negative
Eureka AI Summary based on the topic
List of responses
Linked topics visualisation
List of sub topics
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Responses Table
A table with a view of all the text answers of the team.
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Text Answer list with the question and the survey
Sentiment score column of the text answers
Topics attached to the text answer
Add topic option to attach a topic manually to a text answer
Date of the text answer column
Link to open individual feedback of the text answer
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Create a Topic
The create a topic flow consists in 3 steps:
The name of the topic → It’s important because this will be used for the attaching text answers to the topic by the AI
Parent topic selection in case you want to create a sub topic
Keywords → To expand to the name of the topic, other words you want to be related to a topic when present in a text answer
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