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Kore.ai XO Platform
Virtual Assistants Overview
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Introduction
Overview Dashboard
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Introduction
Custom Meta Tags
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Multilingual Virtual Assistants
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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
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Configure Digital Views
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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
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Configure Digital Views
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Update Data in Data Tables
Add Data from Digital Forms
Train the Assistant
Composite Entities
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Use Patterns for Intents & Entities
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Deploy the Assistant
Configure an Agent Transfer
Use Assistant Functions
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Intent Scoping using Group Node
Analyze the Assistant
Create a Custom Dashboard
Use Custom Meta Tags in Filters
APIs & SDKs
API Reference
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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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ADMINISTRATION
Introduction to Admin Console
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  1. Home
  2. Docs
  3. Virtual Assistants
  4. Analyzing Your Bot
  5. Analytics Dashboard Filters

Analytics Dashboard Filters

The Analytics dashboard filters are used to filter and view the analytics data for virtual assistants (VAs) on the following dashboards in the ANALYZE section based on the user’s selection(s):

To understand the filter criteria availability on different dashboards, see the Filter Criteria Matrix.

Note:  By default, the VA dashboard displays data for the past 24 hours.

Filter Criteria Descriptions

The following table describes all the filter criteria available on the Kore.ai XO platform:

Filter Description
Date

Select a specific time period to display all the conversations that occurred during the period. The date format is MM-DD-YYYY. Following filter criteria are available for the date filter:

  • 24 Hours – Data aggregated immediately preceding 24 hours is displayed. This is the default setting.
  • 7 Days – Data aggregated over the past seven days is displayed. The start date is the day you select from which this filter is applied. By default, the current day is set as the start date, which you can change.
  • Custom – You can choose a custom date range to filter the records. You need to choose the start date and end date in the calendar and click on the Select button to filter the records. You can select a maximum of 90 days duration as a filter.
Conversation Type

The data on the relevant dashboard is displayed based on the interactive or non-interactive conversation type. Learn more.

The Developer Interactions are not included in the Conversation Type filter.

Conversation Status

The dashboard data is displayed based on the following conversation statuses:

  • Active Conversations: These are the ongoing conversations where the users are interacting with the VA.
  • Closed Conversations: These are the conversations where an active session between the VA and the customer has ended. Learn more.
UserID

The UserID of the end-user related to the conversation. The following filter options are available:

  • Kore User Id – This User Id is generated by the platform when the user registers; or
  • Channel User Id – Email address of the user as received from the channels. Developer interactions are available under Channel User Id.
    For ‘Enterprise Bots’, the email address (kore registered email address) is available under Channel Id.

You can select the user id from the drop-down that’s populated after you enter the first three alphabets of the user id.

You can choose to either Include or Exclude the selected user id.

Channel-specific ids are shown only for the users who have interacted with the VA during the selected period.

Languages

If it is a multi-lingual VA, you can select specific languages to filter the conversation that occurred in those languages. The page shows the conversations that occurred in all enabled languages by default.

This criterion is not available for the Performance tab of NLP Insights.

Channels When the VA is published in multiple channels, select this filter to view the data for various channels enabled for the VA.

The conversations that occurred in all enabled channels are displayed by default.
Task/Intent Select specific tasks or intents to filter the conversation related to those tasks or intents. The page shows the conversations related to all tasks or intents by default.

This criterion is not available for the Intent Not Found tab of NLP Insights.
Utterance Type

Select the Trained option to filter the conversations that only contain trained utterances to the VA.

To view the conversations that contain untrained utterances, click Not Trained. By default, this filter shows the conversations’ data related to both Trained and Not Trained utterances.

This criterion is available only for the Intent Found tab of NLP Insights.

Ambiguous

Select the Show Ambiguous option to filter the conversations that identify multiple tasks or intents and the user is asked to choose from the presented options.

This criterion is available only for the Intent Not Found tab of NLP Insights.

Developer Interactions

Select ‘Include Developer Interactions’, to include developer interactions in the results. By default, the developer interactions aren’t included. 

Developers include both the VA owners and shared developers.

Custom Tags

Select the specific custom tags to filter the records based on the meta-information, session data, and filter criteria. You can add these tags at three levels:

  • User Level: These tags can be added to the user information.
  • Message Level: These tags can be added to the message of the current node. If the current node is not associated with a message, then the tag gets added to the immediate previous node that has a message associated with it.
  • Session Level: These tags can be added at the current session of the user.

You can set the criterion as either Contain or Does Not Contain the specified value.

This criterion is not available for the Debug Logs tab of NLP Insights.

You can define Tags as key-value pairs from Script written anywhere in the application like Script node, Message, Entity, Confirmation prompts, Error prompts, Knowledge Graph responses, BotKit SDK, etc.

The following script can be used for adding meta tags:

  • To add a User level tag:
    tags.addUserLevelTag(“tagname”,”tagvalue”)
  • To add a Session level tag:
    tags.addSessionLevelTag(“tagname”,”tagvalue”)
  • To add the Message level tag:
    tags.addMessageLevelTag(“tagname”,”tagvalue”)
Note: To see the filter criteria from UserID till Custom Tags listed in the preceding table, click the More Filters drop-down.

Filter Criteria Matrix

The following matrix shows the availability of filter criteria on different dashboards and their default values:

Filter Type Overview
Dashboard
Conversation
Dashboard
Users
Dashboard
Performance
Dashboard
Conversations History Dashboard NLP Insights Default
value
Date Period 24 Hours
Conversation Type Interactive
Conversation Status Closed
Channels ALL
Custom Tags None
Language ALL
UserID X X X X X None
Task / Intent X X X X X None
Utterance Type X X X X X Both
Developer Interactions X X X X X Checked

 

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