Virtual Assistants Overview
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Conversation Designer
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Manage Assistant
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Multilingual Virtual Assistants
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Masking PII Details
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Data as Service
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Build a Travel Planning Assistant
Travel Assistant Overview
Create a Travel Virtual Assistant
Design Conversation Skills
Create an ‘Update Booking’ Task
Create a Change Flight Task
Build a Knowledge Graph
Schedule a Smart Alert
Design Digital Skills
Configure Digital Forms
Configure Digital Views
Train the Assistant
Use Traits
Use Patterns
Manage Context Switching
Deploy the Assistant
Configure Agent Transfer
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Use Web SDK
Build a Banking Assistant
Design Conversation Skills
Create a Sample Banking Assistant
Create a Transfer Funds Task
Create a Update Balance Task
Create a Knowledge Graph
Set Up a Smart Alert
Design Digital Skills
Configure Digital Forms
Configure Digital Views
Add Data to Data Tables
Update Data in Data Tables
Add Data from Digital Forms
Train the Assistant
Composite Entities
Use Traits
Use Patterns for Intents & Entities
Manage Context Switching
Deploy the Assistant
Configure an Agent Transfer
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Intent Scoping using Group Node
Analyze the Assistant
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API Reference
API Introduction
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koreUtil Libraries
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Using the BotKit SDK
BotKit SDK Tutorial - Blue Prism
Widget SDK Tutorial
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Introduction to Admin Console
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User Management
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  1. Home
  2. Docs
  3. Virtual Assistants
  4. Builder
  5. Dialog Task
  6. User Intent Node

User Intent Node

As a bot developer, you typically create a task to resolve one primary user intent. Yet, user conversations can branch into related intents (follow-up or sub-intents) as a part of the primary intent.

Let us take a look into this sample conversation for a flight booking assistant:

VA: Hi, how may I help you today?
User: Hey, what flight options have I got from LA to NYC?
VA: Sure, let me know the travel date.
User: Wait a minute, will it rain in NYC this Sunday?

The primary intent of this conversation is to book a flight ticket. But the user wants to know the weather forecast before completing the booking, which is a valid use case.

User Intent Nodes help you add a root intent, a follow-up or sub-intents to your dialog tasks. The flow for a follow-up intent is built within the same dialog task using transitions, and cannot be linked to external tasks. When the execution of a follow-up intent is completed, the conversation flow continues within the same dialog tasks based on the transitions you add.

Note: To start a new Dialog Task from an existing one, you can use the Dialog Task nodes.


Setting up a user intent node in a dialog task involves the following steps:

Add the Node

  1. Open the dialog task to which you want to add the user intent node.
  2. Add a user intent node in the designated place. For steps on adding nodes, please read more here.
  3. The user intent window is displayed with the Component Properties tab selected by default.

Configure the Node

Component Properties

Note: The configurations you set up or edit in the Component Properties tab reflects in all the dialog tasks that use this node. These settings are the same for Intent and Sub-intent nodes.


  1. On the Component Properties tab, under the General Settings, you can modify
    1. The Name,
    2. The Display Name,
    3. The Description.

Instance Properties

Under the Instance Properties tab, you can configure the instance specific fields for the selected intent node. These settings are applicable only if you are connecting an existing intent node and only for the selected node instance, and will not affect other dialog tasks that may invoke the node you are working with. 

You can add tags to build custom profiles of your VA’s conversations. You can define a key and a value for each of the following:

  1. Message – Define custom tags to be added to the current message in the conversation.
  2. User – Define custom tags to be added to the user’s profile information.
  3. Session – Define custom tags to be added to the current conversation session.

Here is an example of a dialog task that is connected as a subintent in a more complex one.

NLP Properties

  1. From the NLP Properties tab, you can configure the following:
    1. Machine Learning settings to provide user utterances to improve the detection for this intent.
    2. Patterns & Rules to capture this intent if the user’s utterance contains these specific patterns.
    3. Bot Synonyms or related phrases for this user intent.
    4. Manage Context to control the flow of the conversation: 
      1. Set Intent Preconditions: The intent will be detected only if any of the context tags specified as pre-conditions are available in the context at the time of intent detection.
      2. Configure Context Output: Define the tags to be set in the context when this intent is initiated. Intent name is automatically set as output context by the system.

Connections Properties

Click the Connections tab and set the transition properties to determine the node in the dialog task to execute next. 

Primary Intent nodes only allow you to select the next node to trigger.

If the Intent node you are working with does not represent the primary intent within the dialog task (if it follows another node), you can write conditional statements based on the values of any Entity or Context Objects in the dialog task, or you can use intents for transitions. For details on how to work with connection conditions, please see Adding IF-Else Conditions to Node Connections. 

Note: These conditions are applicable only for this instance and will not affect this node when being used in any other dialog.