Optimizing Behavioral Interventions with the MOST Framework

Designing effective behavioral and social interventions requires more than just testing a final package; it demands a systematic approach to optimizing individual components. This text-only course introduces you to the Multiphase Optimization Strategy (MOST), a pioneering framework for building highly effective, efficient, and scalable interventions. What you'll learn: 1. Understand the core principles and phases of the MOST framework: preparation, optimization, and evaluation. 2. Differentiate between traditional randomized controlled trials (RCTs) and the multiphase optimization approach. 3. Identify individual intervention components and formulate clear conceptual models. 4. Explore experimental designs used in the optimization phase, including fractional factorial designs. 5. Apply decision-making criteria to select the most effective and feasible intervention package. 6. Practice translating optimization research questions into structured evaluation plans. You will start with foundational definitions and key terminology before exploring experimental designs and practical decision-making strategies. This course is designed for beginners, intervention scientists, and researchers in public health, education, or social sciences, with no prior experience in MOST required. Start reading today to transform how you design and evaluate behavioral interventions.