Interactive system for improved mental health

An awareness and support tool to improve user well-being of a user, comprising:

• a user database operating to i) store a plurality of user part data sets, each user part data set comprising a set of current user state data and a set of existing user state data;
• ii) sort the plurality of user part data sets with respect to a particular set of user state data;
• and
• iii) filter the plurality of user part data sets with respect to the particular set of user state data;
• a user interface operating to receive:
• i) the set of current user state data, the current user state data comprising user mental state and user physical state;
• and ii) user self-assessment data;
• a system database operating to store a set of guided exercises associated with at least the current user state data;
• a processor operating on the user database to determine mappings between the plurality of user part data sets and at least one of the set of current user state data and the set of existing user state data;
• wherein:
• the processor generates and renders a first visual mapping of a relationship between the plurality of user part data sets and at least one of the set of current user state data and the set of existing user state data;
• the user selects the particular set of user state data as rendered on the user interface by the processor;
• the user enters the set of current user state data associated with the particular set of user state data;
• and
• the processor selects, based on the set of current user state data, a first guided exercise from the system database, and renders the first guided exercise on the user interface.

A method of improving user well-being of a user, comprising:

• providing an awareness and support tool comprising:
• to a user interface operating to receive temporally-marked user data sets comprising:
• i) user state data comprising user mental state and user physical state;
• ii) user trigger data;
• iii) user self-assessment data;
• and iv) user self-reflection data;
• a user database operating to:
• i) store the temporally-marked user data sets;
• ii) sort the temporally-marked user data sets;
• and iii) filter the temporally-marked user data sets;
• a system database operating to store a set of guided exercises associated with at least user state data, user trigger data, and user self-assessment data;
• and
• a processor operating on the user database to determine mappings between data of the temporally-marked user data sets and to identify insights associated with data of the temporally-marked user data sets;
• inputting, by the user through the under interface, a first set of user self-assessment data and a first set of user state data;
• selecting, by the processor and based on the first set of user self-assessment data and the first set of user state data, a first guided exercise from the system database;
• rendering, by the processor, the first guided exercise on the user interface;
• executing, by the user, the guided exercise;
• inputting, by the user through the user interface, a first set of user self-reflection data associated with executing the first guided exercise;
• inputting, through the user interface, a first set of user trigger data;
• mapping, by the processor, the first set of user state data and the first set of user trigger data with respect to a set of pre-existing temporally-marked user data sets to create a first visual map;
• rendering, by the processor on the user interface, the first visual map;
• generating, by the processor, a first insight associated with the first set of user state data, the first set of user trigger data, and the set of pre-existing temporally-marked user data;
• rendering, by the processor, the first insight;
• and
• inputting, by the user through the user interface, a second set of user self-assessment data.