Navigate through the Persona Application
Updated
Overview
In this article, we will talk about the different sections present in the persona application.
Let's Begin
Switch to the Conversational AI Applications tab where you can either create a new application or make changes to the existing ones.
Click the desired application card to access the following details.
Home tab
You can view widgets such as Top Issues, Dialog Tree Performance, Messages Detected, Cases with Lowest CSAT, Case Handling by Channels. The widgets are very much similar to the home page widgets of the Conversational AI Application.
Manage
Manage your application using different modules. Click here to learn more.
Dialogue Tress
A dialogue tree is a logical design for a conversational journey. It defines the sequence of a conversation with a virtual agent based on the questions the bot asks and the various replies a user provides.
The dialogue tree consists of various nodes that can be linked to create a conversation based on your needs. Each node can display, request, or process information when triggering a specific flow.
Message Validation
Message Validation allows users to perform all testing-related activities on the platform.
Once you have built the model, you can evaluate the accuracy of an intent model by validating messages with different expressions.
We can also provide feedback to the intent model for messages that are not categorised or incorrectly categorised.
It is important to continuously test the model with user expressions, validate it, and provide feedback to ensure accurate predictions.
By validating and approving the predictions, you not only gain insights but also provide a great opportunity for the model to learn and improve over time.
Deplyment Settings
After you have created your dialogue tree bots and FAQ bots, you need to deploy them. The function of the deployment settings is to assign each dialogue tree bot and FAQ bot a priority so that the workflow of the application helps the user’s journey to run smoothly.
Reporting
Sprinklr's reporting dashboards provide analytics that makes it simple to track the customer journey, highlighting how and when different paths are taken up by users and how satisfied your customers were with the interaction.
Dialogue Tree Reporting
View reporting at an individual dialogue tree level. Click Version History in the bottom left corner to view the reporting data for the previous versions.
Application
View standard reporting widgets for the selected conversation AI application.
Conversations
View all the case conversations specific to the selected conversational AI application.
Use Case Library
Switch to the Use Case Library tab to choose from a set of pre-defined use cases that best suits your need to start your bot application. To get the use cases added for your specific industry, raise a support ticket at tickets@sprinklr.com.
You can select any of the Use Cases from different Categories and add it to the desired conversational AI application by clicking Add to Application in the top right corner.
On the Import Use Cases to Application, you have the option to either add the use case to an existing bot application or add it to a new application.
Asset Manager
Asset Manager provides an organized and unified repository for you to create, manage, and store your media assets, documents, templates, and more.
Search
Using the Universal Search, you can quickly find and access all the entities of Sprinklr like Assets, Campaigns, Dashboards, Cases, Macros, Rules, Tasks, etc. thus helping you save time in locating data that you want to view.
Settings
Switch to the Settings tab to access various modules of Sprinklr that can be leveraged within Conversational AI applications, such as Accounts, Business Hours, Custom Fields, Proactive Prompts, Work Queues, etc.
