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
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  3. Virtual Assistants
  4. Builder
  5. Creation
  6. Design

Design

Before you develop a bot, understand the bot and its capabilities to help you and your business. This understanding brings clarity and efficiency to the bot development.

Chatbots are artificial intelligence systems that the users interact with through text or voice interface. These interactions are straightforward, like asking a bot about the weather report or trace a missing entry in your bank account.  Further, you can structure interactions, with users choosing options from a list of items presented or unstructured freestyle flow similar to a conversation involving a human agent.

Whatever be the type of user interaction, good design helps in building an efficient bot. A good design allows answering most of the user queries, anticipates all the conversation flows, and expects the unexpected.

Post ver 7.2 release, platform has an option to help you design your conversations using the Storyboard feature. It is an intuitive conversation designer that simplifies and streamlines the bot blueprinting process, without the need to have external flow charts, tracking, and versioning tools. See here for more.

Platform Recommendations: The following steps are considered while designing a bot:

  • Understand the User Needs: To set the scope of the bot. The business sponsors, business analysts, and product owners play an important role to identify the user requirement by gathering market requirements and assessing internal needs.
  • Set the Chatbot Goals: It helps you create a well-defined use case. This involves converting the above-identified scope to a use case. It is advisable to involve the bot developer in this phase.
  • Design a Chatbot Conversation: To define chatbot behavior in every possible scenario in its interaction with the user. Simulating conversations go a long way in identifying every possible scenario.

Once the bot capabilities and ideal use case are well-defined, the bot developer can begin the process of configuring bot tasks, define intents and entities, and build the conversational dialog.

Things to keep in mind while designing a chatbot: Try to answer the following questions (some if not all):

  • Who is the target audience? Technical help bots targetted for a tech-savvy customer need a different design when compared to help bots for a layman like, say, a bank customer. Hence assessing the target audience is always important.
  • What bot persona will resonate the most with this group? This will help define how the bot talks and act in every situation.
  • What is the purpose of the bot? The goal i.e. the customer query that the bot needs to address defines the endpoint of any conversation.
  • What pain points will the bot solve? The purpose and scope of bots are set to identify what the bot addresses and when the human agent needs to take over.
  • What benefits will the bot provide for us or our customers? The main benefit of using a bot is time-saving. The user need not waste their time waiting for a human agent to be available for answering their query. You, as the business owner, need not worry about not being there to cater to all customer needs.
  • What tasks do I want my bot to perform? Simulation of user conversation helps identify the tasks that need to be catered to by the bot.
  • What channels will the bot live in? This will to some extent drive the way the bot is presented, the various options available for the chatbot is limited by the channel/medium it is used.
  • What languages should my bot speak? When catering to a multi-lingual community the language support is imperative and building the dictionary simultaneously is useful.
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