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. Users Trend Analysis

Users Trend Analysis

Once you have implemented a virtual assistant, you can gain actionable insights on the type of users it handles including unique, new, and returning users, and the user trends for a given period for different conversation types, conversation statuses, channels, languages, and custom conversational tags on the Users Dashboard.

The Users Dashboard displays the trends of total users interacting with the virtual assistant, with a breakup of new users and returning users which are helpful in understanding user trends and the user retention status of your business.

Note: The Users Dashboard is available only post 9.3 release, i.e. post-July 24, 2022.

For example, an eCommerce company requiring insights on user trend-based data for their mobile app can use the Users Dashboard to determine the following:

  • The new users, existing users, and returning users of their app.
  • The active users over a specific period.
  • The new and returning users on a specific day, week, or month.
  • The total inactive users registered on the app.
  • The percentage of users who return and use the app “N” days after they start using it.

Navigating to the Users Dashboard

To access the Users Dashboard, follow these steps:

1. Click the Analyze tab on the top menu.

2. Click the Users Dashboard on the side panel as shown below.

3. Select the relevant filter option to apply the data changes and view the data/graphs in various panels of the dashboard.

User Trends Considerations

  • If User-A has interacted with the bot on 25-Jan-2022 for the first time and the dashboard is viewed between 23-Jan-2022 to 26-Jan-2022 then this user will be considered as a new user.
  • If User-B has interacted with the bot on 25-Jan-2022 for the first time and again interacted with the bot on 26-Jan-2022, and if the dashboard is viewed between 23-Jan-2022 to 26-Jan-2022, then this user will be considered as a returning/existing user.
  • If User-C has interacted with the bot on 21-Jan-2022 for the first time and again interacted with the bot on 26-Jan-2022, and the dashboard is viewed between 23-Jan-2022 to 26-Jan-2022, then, this user will be considered as a returning/existing user.

The Users Dashboard provides insights on the following user trend metrics:

  • Total Unique Users: The total number of unique users who interacted with the virtual assistant.
  • New Users: The total number of users who have interacted with the virtual assistant for the first time in the selected period.
  • Returning Users: The total number of users who have already interacted with the virtual assistant earlier and have initiated another session in the selected period.
  • Avg. Total Unique Users Per Day: The total number of unique users who interacted with the virtual assistant in the selected period divided by the number of days in the selected period.
  • Avg. New Users Per Day: The total number of new users who interacted with the virtual assistant in the selected period divided by the number of days in the selected period.

The key components of the Users Dashboard are:

  • Users Trend: The users’ trend shows the distribution of New Users, Returning Users, and Total Unique Users who have interacted with the virtual assistant over a period. This helps determine User Engagement for the selected period.Graph- Users’ Trend for the Selected Period

  • Users Trend Summary: This panel displays the real-time counts of the Total Unique Users, New Users, Avg. Total Unique Users Per Day, and Avg. New Users Per day.

The increment/decrement of the above user metrics’ counts is displayed as percentage values.

  • Returning Users: Displays the graph for the day-wise returning users (in percentage) for the selected dates and other filters. Here, Day 0 is the first time a user interacts with the virtual assistant. The returning users % is calculated for the consecutive days for the selected period. For example, in the following image, the number of users is 100% on Day 0 (first interaction) and 0% on Day 1 since none of the users that have already interacted with the virtual assistant have initiated a conversation on the same channel/browser.Graph- Returning Users Trend for the Selected Period

  • Cohort Analysis: This data visualization chart plots the weekly new users and the percentage of returning users based on the formula (Returning Users/New Users)*100 on the consecutive days to determine the retention rate. The Users Dashboard displays the Day N retention of daily, weekly, or monthly cohorts, within a customizable range of dates. For example, if you’re looking at the retention of daily cohorts acquired from July 13 to July 20, 2022, based on the filters selected, and the actual users returning on Day 2, the following Cohort Analysis Chart is displayed:

  • Filter Criteria

    The Users Dashboard data can be viewed based on specific filter criteria that can be selected. Learn more.

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