Abstract: A system and method for automated behavioral activation is disclosed. The system and method automatically senses and tracks a user's activities and interactions over the course of a period of time. The tracked information may include sensing data and self-assessment data. In some embodiments, the sensing data may be from one or more sensors such as a global positioning system (GPS), a motion sensor, and a keyboard. The self-assessment data may be information input by the user. The system uses the tracked information to extract one or more user patterns. The system may also use the tracked information to calculate one or more mood balance scores and one or more mood balance indicators. The system then generates and provides feedback based on the pattern(s). The feedback may be used to implement a behavioral change plan, used to change the user's patterns to improve the user's overall wellbeing.