Version 3.12.0 - 22nd July 2024

We are excited to introduce our new navigation and Text Analysis module in this release!

New Navigation

We have designed a new navigation system to enhance your experience on Feedier. This improved navigation ensures more efficient use and priorities delivering value to you.

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1. “Insights” becomes Dashboard → Dashboard is the new name for Insights here you will find your Activity, Ownership, Geographical and Pushes.

2. NEW Feedback hub → We've renamed the "Feedback" page to "Live Feed" to better represent its purpose and to support our ongoing expansion. For admins, all pages related to managing feedback, including "Imports", "Surveys", the "Live Feed" and “Segments” modules, are now centralised in this new Feedback Hub.

3. NEW Exploration hub → Introducing a new dimension to our sentiment analysis with a dedicated section combining our “Text Analysis” and “Assignments” empowered by Eureka AI modules.

4. Reports module.

Text Analysis Module

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We are excited to announce an upcoming enhancement to our platform. This advanced module is designed to elevate your analysis of text answers and topics, offering improved design, enhanced performance, and a suite of new features.

Composition of the module

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.

In the following paragraphs, we will explore each of these components in detail.

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 does it work

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Tab 1

1. Dropdown timeline to decide the time period to select the 10 topics to display.

2. This graph consists of a pie chart breakdown of the 10 topics

3. Legends of the graph

In the second tab we will see the same information but in an overtime graph

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Tab 2

1. Dropdown timeline to decide the time period of the x-axis and to select the 10 topics to display.

2. This graph consists of a overtime chart of the 10 topics

3. Legends of the graph

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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1. Dropdown timeline to decide the time period of the x-axis.

2. This graph consists of a overtime chart of the sentiment trend.

3. % of the total (based in global filter and dropdown timeline) of each sentiment score.

4. The topics with more volume related to the sentiment.

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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1. Sentiment score of the text answers used to create the summary

2. Regenerate button to create a new summary

3. Eureka AI generated text

4. Suggested topics

Topics table

A table with a view of all the topics of the team.

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1. Topics column → with the sentiment score badge

2. Sub topics column → with the sentiment score badge

3. The search bar to search for topics and sub topics

4. Responses column

5. Individual Visualisation View → we will see this after

6. 3 dots

   1. Edit topic

   2. Delete topic

7. Amount of topics

8. 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.

1. Breakdown of the topic by sentiment → % of responses that are positive/neutral/negative

2. Eureka AI Summary based on the topic

3. List of responses

4. Linked topics visualisation
   
   

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   1. Linked topic visualisation → See the 5 topics with more relation to “Positive”
   2. See the topics in a chart

5. List of sub topics
   
   

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   1. Add a new subtopic
   2. Dig into that subtopic view

    

Responses Table

A table with a view of all the text answers of the team.

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1. Text Answer list with the question and the survey

2. Sentiment score column of the text answers

3. Topics attached to the text answer

4. Add topic option to attach a topic manually to a text answer

5. Date of the text answer column

6. Link to open individual feedback of the text answer

Create a Topic

The create a topic flow consists in 3 steps:

1. The name of the topic → It’s important because this will be used for the attaching text answers to the topic by the AI

2. Parent topic selection in case you want to create a sub topic

3. 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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Thanks

-Team Feedier