Systems and methods for chatbot applications tracking user stress levels

A method comprising:

• reading, by a chatbot application, a plurality of email messages and a plurality of calendar entries, wherein the email messages are associated with a plurality of user profiles, wherein the calendar entries are associated with the user profiles, wherein the email messages and the calendar entries are stored remote from the chatbot application;
• generating, by the chatbot application, a plurality of busyness factors based on the email messages and the calendar entries;
• writing, by the chatbot application, the busyness factors into the user profiles;
• reading, by the chatbot application, the busyness factors from the user profiles;
• aggregating, by the chatbot application, the busyness factors into a group busyness factor;
• caching, by the chatbot application, the group busyness factor;
• receiving, by the chatbot application, a query from a client during a chat, wherein the client is running remote from the chatbot application, wherein the query is regarding a particular user profile not associated with the client, wherein the user profiles include the particular user profile;
• reading, by the chatbot application, a particular busyness factor from the particular user profile;
• retrieving, by the chatbot application, the group busyness factor;
• comparing, by the chatbot application, the particular busyness factor against the group busyness factor;
• tracking, by the chatbot application, the group busyness factor over a predetermined time period;
• determining, by the chatbot application, how the group busyness factor changes over the predetermined time period;
• generating, by the chatbot application, a baseline based on how the group busyness factor changes over the predetermined time period;
• and
• presenting, by the chatbot application, a message to the client during the chat, wherein the message is responsive to the query, wherein the message is informative of the group busyness factor, the baseline, and the particular busyness factor relative to the group busyness factor wherein the message indicates how the group busyness factor changed over the predetermined time period.