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As the world becomes increasingly digitally readable through a variety of sensors, digital services will play a key role in advising and supporting people towards a variety of goals. In this paper, we present a personalized wellness system that leverages techniques from cognitive science and machine learning to improve a user's well-being by suggesting daily micro-goals (e.g., “bring a healthy snack to work”), and by enabling social sharing of individual achievements. Specifically, we propose a method for estimating a user's likelihood of successfully completing a given micro-goal (“ONE”) and study the correlation between ONEs and users' actions to improve their chances of reaching their wellness objectives.