GETTING STARTED
Kore.ai XO Platform
Virtual Assistants Overview
Natural Language Processing (NLP)
Concepts and Terminology
Help & Learning Resources
Quick Start Guide
Accessing the Platform
Navigating the Kore.ai XO Platform
Building a Virtual Assistant
Using Workspaces
Release Notes
Current Version
Previous Versions
Deprecations
Request a Feature
CONCEPTS
Design
Storyboard
Overview
FAQs
Conversation Designer
Overview
Dialog Tasks
Mock Scenes
Dialog Tasks
Overview
Navigate Dialog Tasks
Build Dialog Tasks
Nodes & Connections
Overview
Node Types
Intent Node
Dialog Node
Entity Node
Entity Rules
Form Node
Confirmation Node
Message Nodes
Logic Node
Bot Action Node
Service Node
Webhook Node
Script Node
Process Node
Agent Transfer
Node Connections Setup
Sub-Intent Scoping
User Prompts
Voice Call Properties
Dialog Task Management
Supported Entity Types
Supported Company Names
Supported Colors
Knowledge Graph
Introduction
Knowledge Extraction
Build Knowledge Graph
Create Node Structure
Build the Graph
Add FAQs
Add FAQs from an Existing Source
Run a Task
Traits, Synonyms, and Stop Words
Manage Variable Namespaces
Update Knowledge Graph
Introduction
Move Question and Answers Between Nodes
Edit and Delete Terms
Edit Questions and Responses
Knowledge Graph Analysis
Knowledge Graph Import and Export
Prepare Data for Import
From a CSV File
From a JSON File
Importing Knowledge Graph
Exporting Knowledge Graph
Auto-Generate Knowledge Graph
Alert Tasks
Small Talk
Digital Skills
Overview
Digital Forms
Digital Views
Introduction
Widgets
Panels
Session and Context Variables
Context Object
Train
NLP Optimization
ML Engine
Overview
Model Validation
FM Engine
KG Engine
Traits Engine
Ranking and Resolver
Training Validations
NLP Configurations
NLP Guidelines
Intelligence
Introduction
Event Handlers
Default Standard Responses
Contextual Memory
Contextual Intents
Interruption Management
Multi-intent Detection
Amending Entities
Default Conversations
Conversation Driven Dialog Builder
Sentinment Management
Tone Analysis
Test & Debug
Overview
Talk to Bot
Utterance Testing
Batch Testing
Conversation Testing
Health and Monitoring
Deploy
Channels
Publishing
Versioning
Analyze
Introduction
Overview Dashboard
Conversations Dashboard
Users Dashboard
Performance Dashboard
Custom Dashboards
Introduction
Custom Meta Tags
Create Custom Dashboard
NLP Insights
Conversations History
Conversation Flows
Analytics Dashboard Filters
Usage Metrics
Containment Metrics
Smart Bots
Universal Bots
Introduction
Universal Bot Definition
Universal Bot Creation
Training a Universal Bot
Universal Bot Customizations
Enabling Languages
Store
Manage Assistant
Plan & Usage
Overview
Usage Plans
Support Plans
Invoices
Authorization
Multilingual Virtual Assistants
Get Started
Supported Components & Features
Manage Languages
Manage Translation Services
Multiingual Virtual Assistant Behavior
Masking PII Details
Variables
Collections
IVR Settings
General Settings
Assistant Management
Manage Namespace
Data as Service
Data Table
Table Views
App Definitions
Sharing Data Tables or Views
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
Configure Agent Transfer
Use Bot Functions
Use Content Variables
Use Global Variables
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
Use Assistant Functions
Use Content Variables
Use Global Variables
Intent Scoping using Group Node
Analyze the Assistant
Create a Custom Dashboard
Use Custom Meta Tags in Filters
APIs & SDKs
API Reference
API Introduction
API List
API Collection
koreUtil Libraries
SDK Reference
SDK Introduction
SDK Security
SDK Registration
Web Socket Connect and RTM
Using the BotKit SDK
BotKit SDK Tutorial - Blue Prism
Widget SDK Tutorial
Web SDK Tutorial
ADMINISTRATION
Introduction to Admin Console
Administration Dashboard
User Management
Add Users
Manage Groups
Manage Roles
Assistant Management
Enrollment
Invite Users
Send Bulk Invites
Import User Data
Synchronize Users from AD
Security & Control
Using Single-Sign On
Security Settings
Cloud Connector
Analytics
Billing
  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

 

Menu