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Kore.ai XO Platform
Virtual Assistants Overview
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Intent Node
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Here
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HOW TOs
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
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Build a Banking Assistant
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Create a Sample Banking Assistant
Create a Transfer Funds Task
Create a Update Balance Task
Create a Knowledge Graph
Set Up a Smart Alert
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Configure Digital Views
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Update Data in Data Tables
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Train the Assistant
Composite Entities
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Use Patterns for Intents & Entities
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Configure an Agent Transfer
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Use Global Variables
Intent Scoping using Group Node
Analyze the Assistant
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APIs & SDKs
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koreUtil Libraries
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BotKit SDK Deployment Guide
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Using the BotKit SDK
SDK Events
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Installing Botkit in AWS
Tutorials
BotKit - Blue Prism
BotKit - Flight Search Sample VA
BotKit - Agent Transfer

ADMINISTRATION
Intro to Bots Admin Console
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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

The NLP Properties are related to the underlying intent associated with a dialog. You can add these properties here or in the NLP – Training section. They are used to train the machine learning model to help improve intent identification for the dialog task. These properties are not used to execute this node in the flow.

To improve intent identification for the dialog task, add or define the following properties: 

  1. Machine Learning settings to provide user utterances to improve the detection of this intent. Learn more.
  2. Patterns and Rules to capture this intent if the user’s utterance contains these specific patterns or matches the rule. Learn more.
  3. Bot Synonyms or related phrases for the user intent. Learn more.
  4. Manage Context tags as preconditions to identify the intent and define the output context to be set when this task is initiated. Learn more.

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.

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

The NLP Properties are related to the underlying intent associated with a dialog. You can add these properties here or in the NLP – Training section. They are used to train the machine learning model to help improve intent identification for the dialog task. These properties are not used to execute this node in the flow.

To improve intent identification for the dialog task, add or define the following properties: 

  1. Machine Learning settings to provide user utterances to improve the detection of this intent. Learn more.
  2. Patterns and Rules to capture this intent if the user’s utterance contains these specific patterns or matches the rule. Learn more.
  3. Bot Synonyms or related phrases for the user intent. Learn more.
  4. Manage Context tags as preconditions to identify the intent and define the output context to be set when this task is initiated. Learn more.

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.

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