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Attribute management

Attributes are giving context to your feedbacks

Julien Chil avatar
Written by Julien Chil
Updated over 2 weeks ago

Menu → Attributes


Who can access ?

Roles

Access

👑 Admins

Full access

🛠️ Editors

Read only

👀 Viewers

Read only

🔒 Restricted Viewers

Read only

What are the different visibilities of attributes ?

There is 3 visibility types :

🌐 Public (by default)

Attributes are visible by all logged in users, and can be used as filters or in reports.

👀 Visible for assigned users

The value will only be shown :

  • From the live feed

  • If the user is assigned to the feedback

  • If the delay is not expired (if exists)

🔒 Hidden

The value will not be shown whatever the page (live feed, reports,…).

The visibility applies to the current team and all its sub teams, except if it was explicitly changed for one of the subteams.

What are Sensitive attributes ?

Settings > Organization > Attribute security

Sensitive attributes are encrypted in our database with the AES-256-CBC algorithm. You cannot filter on their value, but you can retrieve it

  • through the API

  • in an email template (in order to insert the attribute value in an email campaign)

  • when the visibility setting is Visible to assigned users (see above).

In those situations, the value is decrypted only at the moment it’s needed—it is never stored in decrypted form in the database.

How can I mark an attribute that I use often ?

The “Favorite” attribute type makes your attribute usage across the platform more efficient. It will be directly recommended first when using Feedier.

Why assigning owners to Attributes ?

The “Ownership” attribute type allows you to assign email owners to attribute values.

Then in autopilot you can trigger the automation you want and send notification to the owner.

What are NLP attributes ?

NLP attributes are pieces of information automatically extracted from text responses (verbatims) using AI. There are by default activated on the plateforme.

Attributes

Meaning

nlp_personal_name

Names of people mentioned in the text (e.g. "John Smith")

nlp_localization

Locations mentioned (e.g. "Paris", "New York")

nlp_product

Products mentioned (e.g. "iPhone", "Model X")

nlp_brand

Brands mentioned (e.g. "Apple", "Nike")

nlp_number

Numbers/quantities found in the text (e.g. phone numbers, amounts)

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