Learning Collaboratives (LCs) are structured initiatives that bring teams together to learn, test, and implement evidence‑based or evidence‑informed practices with the goal of improving measurable outcomes. While LC models vary across contexts, high‑quality collaboratives commonly include:

• A clearly defined, measurable aim
• Structured opportunities for shared learning and peer exchange
• Use of data to guide testing and improvement
• Expert faculty, coaching, or implementation support
• Iterative cycles of testing and refinement (e.g., PDSA cycles)

This document provides a practical planning guide to support the intentional design and implementation of LCs that are aligned with implementation science principles.