User feedback
Collect user feedback on AI replies easily with the NLX platform
What are Feedback collections?
Feedback collections let you capture quick structured user feedback on an AI response (just like the 👍/👎 controls you see with popular LLM chat experiences). Because a feedback collection is a global workspace resource, you can reuse the same collection user nodes and basic nodes.
If using Touchpoint, feedback collections are rendered automatically in the chat UI with no additional frontend work required. If you prefer a fully branded or custom experience, you can render the feedback UI in your own frontend and submit feedback using your own interface.
Feedback collections are currently supported in chat-based experiences. Voice feedback collections are unsupported at this time.
Common use cases:
Measure response quality (helpful vs. not helpful) on key moments like knowledge base answers
Identify knowledge gaps (patterns in bad ratings and comments)
Compare experiences across flows or versions of an application
Add pulse checks after high-risk turns (refunds, account access, compliance messaging)
To access, click Resources in your workspace menu and choose Feedback collections
Set up a collection
Create and configure a feedback collection once and then reuse it anywhere.
When setting up a New feedback collection, set the following on its Configuration tab:
Name: Internal name for the collection (e.g., “Post-answer rating”)
Optional:
Comments (toggle): When enabled, users can leave an optional written comment
Question (toggle): The prompt shown to the user (e.g., “How was your experience?”)
NOTE: Keep the question short and neutral, as users respond more when it feels effortless
Labels: Customize the text shown to users for each rating option (e.g., Good/Bad), including the Comments label, if enabled (e.g., Tell me more)
Option 1: Create from Resources page
Select Resources in your workspace menu and choose the Feedback collections card
Select New feedback collection
Configure the collection fields and click Save
Option 2: Create while in a flow
You can also create a feedback collection directly from a node in your flow:
Choose an eligible node (User choice, User input, or Basic)
Click +Add functionality and select Collect feedback
In the collection dropdown, select +Create new collection
Configure the collection fields and click Save
Use a collection
Attach feedback collection prompts directly to a node so the user can rate the preceding experience.
Open a flow and select the node where you want to request feedback (only user or basic nodes)
In the node’s side panel, select + Add functionality
Choose Collect feedback
Select the feedback collection (e.g., "Post-answer rating") from the dropdown
Click Save on the Canvas
Monitor feedback

Once your flow is deployed with an app and users begin responding, you can review results per application.
Go to Applications in your workspace menu and select your app
Click the Feedback tab
Choose the feedback collection (if more than one appear in flows attached to your app) from the dropdown to view:
Rating distribution (Good vs. Bad)
Entries list, including:
Timestamp
Source (where it occurred)
User utterance
The application message that was rated
The rating and any comment
Use search and filters to narrow down results to specific periods or patterns.
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