A decision-making framework is a structured approach to analyzing choices and arriving at decisions. Examples: decision matrices (score options by criteria), weighted scoring (prioritize criteria), scenario planning (what if X happens?), pre-mortem (imagine failure, work backward). Frameworks reduce bias, speed decision-making, and improve outcomes. Example: Choosing a database (PostgreSQL vs. MongoDB). Decision matrix: rows = options, columns = criteria (cost, scalability, query complexity). Score each. Weighted score gives recommendation.