The interactions metric shows the amount of interactions with users for that month. An interaction is counted as a one response from a user.
The intent recognized metric shows the percentage of intents recognized in all the bot conversations. This will tell how much of all the conversations is recognized by a trained model. If you want to increase this percentage, you have to train more intents.
This metric is used to track the number of users that finished a flow completely from beginning to end. To measure this metric, bot designers have to select the 'count conversation as touchless' in their endpoints in the Dialog Manager.
The sentiment gauge shows the percentage of positive sentiment that is detected over the bot interactions with its users.
The satisfaction bar shows the aggregated satisfaction level for all bots on the platform. This widget can be manipulated by using the 'Rating- block'.
The retention widget shows the number of people that returned to your bot(s) after for a second time as a percentage compared to the number of people that only had a conversation with one of your bots once.
The users metric shows the number of unique people that are interacting with the bot(s) this month.
The conversations / chats metrics shows the number of completed chat sessions that were executed. The more people start a new chat, the more this number will increase.
The average time spent metrics shows the average time users spent interacting with your bot(s).
The interaction per channel widget shows the different channels and the total number of interactions for that channel.