GETTING STARTED
Kore.ai XO Platform
Virtual Assistants Overview
Natural Language Processing (NLP)
Concepts and Terminology
Quick Start Guide
Accessing the Platform
Working with the Builder
Building a Virtual Assistant
Using Workspaces
Release Notes
Current Version
Previous Versions
Deprecations

CONCEPTS
Design
Storyboard
Dialog Tasks
Overview
Dialog Builder
Node Types
Intent Node
Dialog Node
Entity Node
Form Node
Confirmation Node
Message Nodes
Logic Node
Bot Action Node
Service Node
Webhook Node
Script Node
Group Node
Agent Transfer
User Prompts
Voice Call Properties
Dialog Task Management
Connections & Transitions
Component Transition
Context Object
Event Handlers
Knowledge Graph
Introduction
Knowledge Extraction
Build Knowledge Graph
Add Knowledge Graph to Bot
Create the Graph
Build Knowledge Graph
Add FAQs
Run a Task
Build FAQs from an Existing Source
Traits, Synonyms, and Stop Words
Manage Variable Namespaces
Update
Move Question and Answers Between Nodes
Edit and Delete Terms
Edit Questions and Responses
Knowledge Graph Training
Knowledge Graph Analysis
Knowledge Graph Import and Export
Importing Knowledge Graph
Exporting Knowledge Graph
Creating a Knowledge Graph
From a CSV File
From a JSON file
Auto-Generate Knowledge Graph
Alert Tasks
Small Talk
Digital Skills
Digital Forms
Views
Introduction
Panels
Widgets
Train
Introduction
ML Engine
Introduction
Model Validation
FM Engine
KG Engine
Traits Engine
Training Validations
Ranking and Resolver
NLP Configurations
NLP Guidelines
Intelligence
Introduction
Contextual Memory
Contextual Intents
Interruption Management
Multi-intent Detection
Amending Entities
Default Conversations
Sentinment Management
Tone Analysis
Test & Debug
Talk to Bot
Utterance Testing
Batch Testing
Conversation Testing
Health and Monitoring
Deploy
Channels
Publish
Analyze
Introduction
Overview Dashboard
Conversations Dashboard
Users Dashboard
Performance Dashboard
Custom Dashboards
Introduction
Meta Tags
Dashboards and Widgets
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
Masking PII Details
Variables
IVR Settings
General Settings
Assistant Management
Data as Service
Data Table
Table Views
App Definitions
Sharing Data Tables or Views

HOW TOs
Build a Flight Status 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
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
Web SDK Tutorial
Widget SDK Tutorial
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

ADMINISTRATION
Introduction
Assistant 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 & Compliance
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 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. 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.

Note: The date format is MM-DD-YYYY.

Conversation Type

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

Note: 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. You can choose to filter based on the:

  • 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.

Note: 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-language 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.

Note: This criterion is not available in 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.

Note: This criterion does not apply to the Intent Not Found tab of NLP Insights.
Utterance Type

Select the Trained option to filter the conversations that only contained 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.

Note: This criterion is available only for the Intent Found tab.

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.

Note: This criterion is available only for the Intent Not Found tab.

Developer Interactions

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

Note: Developers include both the VA owner 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.

Note: This criterion is not available on 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 YES YES YES YES YES YES 24 Hours
Conversation Type YES YES YES YES YES YES Interactive
Conversation Status YES YES YES YES YES YES Closed
Channels YES YES YES YES YES YES ALL
Custom Tags YES YES YES YES YES YES None
Language YES YES YES YES YES YES ALL
UserID No No No No No YES None
Task / Intent No No No No No YES None
Utterance Type No No No No No YES Both
Developer Interactions No No No No No YES Checked

 

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