Version 3.18.0 8th October 2024

We are excited to introduce our new UX of the Filters and the new Org pages in this release!🎉 🎉

New UX on Filters 

We are introducing an update to our filters that enhances the way AND and OR logical operators work when applying multiple filters. This improvement ensures that the logical operators apply correctly to the relationship between filters, creating more accurate and consistent results.

The logical operator step to choose between AND and OR is removed.

How It Works:

1. Adding Filters:

   • When you add a filter, the system automatically applies an AND relation between it and any subsequent filters.

2. Changing the Relation:

   • If you prefer to apply an OR relation between two filters, you can click on the operator between the filters to toggle it from AND to OR.

   • The chosen operator will then apply to the relationship between the two filters.

New Org Page

As part of our ongoing effort to improve and modernize the Feedier platform, we are excited to announce the upgrade of the Organization Page interface.

General Information → It’s used to give context to Eureka AI

1. Name → Name of the Organization

2. Description → Description of the Organization

Dashboard Settings

3. Dashboard Logo → You can add the logo of your organization

4. KPI amount → Number of KPI’s displayed in Dashboard page

Attribute Security

5. Sensitive Attributes → Manage your sensitive attributes at a Org level with this component

API page → Now is in Advanced Settings

Sentiment Score new Filter

We are glad to introduce a new filtering option for Sentiment Score. This improvement will enhance you with the ability to filter feedback based on sentiment analysis results, making it easier to target specific feedback types (positive, neutral, or negative) across the platform.

• New FQL Option: Sentiment Score

  • You will now see Sentiment Score as a selectable filter.

• Operators:

  • The following operators will be available for Sentiment Score:

    • Equals

    • Does not equal

• Selection Process:

  • You can select one or more of the sentiment score options (Positive, Neutral, Negative) at the same time.

  • If more than one option is selected, the relation between them will default to an "OR" relation. This means the system will return feedback that matches any of the selected sentiment scores.

Example Flow

1. Scenario:

   • You have 3 feedback entries:

     • Feedback A: Text answer with Positive sentiment

     • Feedback B: Text answer with Negative sentiment

     • Feedback C: One Text answer with Positive and one text answers with Negative sentiment

2. User Action:

   • You filter by Sentiment Score = Positive.

3. Expected Result:

   • Feedback A and C will be displayed, as both contain positive sentiment.

Thanks

-Team Feedier