This document discusses tools for personal analytics that can collect data about behaviors, habits, and thoughts in order to gain self-knowledge. It describes collecting data through sensors, devices, and assessments; analyzing the data for patterns and correlations; and visualizing the data to support decision making and behavior changes. The goal is to move from raw data to actionable suggestions through analyzing factors like sleep duration, quality, and correlations with caffeine intake, environment, and activities.