This chapter helps readers choose the right quality improvement approach and test themselves on it. Through case-based scenarios from routine hospital and clinic problems, readers select the appropriate toolset, map the steps of a fitting model (PDSA, Lean, DMAIC), and specify how to measure and monitor impact. A built-in self-assessment provides answer keys and brief explanations as to why a method fits, which measures to track (outcome, process, balancing, equity), and how to visualize results (run charts, SPC) for decisions. A concise decision aid links problems to tools - Critical Incident Technique, Pareto, FMEA, fishbone, checklists, standard work, error-proofing and flags pitfalls and skill needs. Readers learn to match tool complexity to team capability, set clear aims, define operational measures, and plan for sustainment and spread. The chapter also introduces Self-Assessment Diagnostic Tools for Evaluating Safe, Reliable, and Effective Care. It is a structured framework to assess and track progress across nine components: psychological safety, accountability, teamwork and communication, effective engagement and conflict resolution, continuous learning, improvement, measurement and reliability, transparency and leadership for improvement, and person-centered care. Together, these elements build practical competence: choose well, measure what matters, learn fast, and deliver safer, more reliable care.