This page provides a quick guide on how to review and train a conversation.
Prerequisites
To efficiently review and train conversations, you must be familiar with the features of the tool. To learn about them, see the Features overview page.
Key points
The process of training consists of 3 main stages:
Reviewing user chat sessions.
Analyzing conversations and associated insights.
Rating and training the insights.
Reviewing
To review a conversations and study its details:
Go to Chatbot > Conversation training.
Expand the pane of the conversation of your interest.
Switch between the Insights, Conversation, and History tabs to study the details.
Analyzing
In the the Insights tab, see the options that Kbot uses as answers to the user’s statement. Some of them are precise and useful, some are less accurate, and some are added by default (such as Talk to an operator, for instance).
To see the details of each insight, click it to switch to the corresponding editor. Thus, you can quickly see the intent with its properties, such as the detection and response type. Or you can see the workflow and its schema.
Study the insights to identify some as accurate, and to decrease the rating of others, so Kbot does not suggest them to users.
Rating
Once you have studied a given conversation and its insights, you can mark them as precise and helpful.
To manage insights, open the Insights tab.
Mark the best answer with the Star icon. This suggestion is going to be presented to users next time the similar request takes place.
Train other options that might be useful with the Hat icon. Bot learns these suggestions and presents them to users as additional options next time the similar request takes place.
Decrease the rating of inaccurate insights. If you think that an insight is neither accurate nor helpful, click the Cross icon.
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