Examines why teams should research possible intervention options, how to look for a wide variety of potential options, and what supporting evidence to look for in researching possible solutions.

Explores how teams can assess an intervention to understand the potential for success with the target population; the fit with the system, agency, and context; and the capacity needed to implement it.

Presents how teams can determine whether there is sufficient information about an intervention to be clear and easy to explain, useable (intervention has operational definitions and fidelity process or performance assessments), and in alignment with agency principles and values.

Examines how teams can use a structured approach to determine if an existing intervention with adaptations meets agency needs or if teams need to design a new one.

Describes how teams define the intervention by stating the purpose, goals, and guiding principles; identifying core components and how they align; and then further operationalizing after getting proposal approval.

Presents how to develop a proposal by clearly explaining the intervention to establish a common understanding among stakeholders, and to support communication and decision-making.

Explores how teams can operationalize core components to ensure the intervention meets key criteria, is based on research evidence, and has enough information for teams to carry it out in practice and to measure the results.

Reviews the final tasks of adapting or developing practice profiles to describe the everyday practice of an intervention, support training and coaching to a desired practice, and help measure fidelity and performance outcomes.

Explores the tasks of determining the “big picture” objectives and scope of evaluation efforts and assessing the agency’s capacity to conduct rigorous fidelity assessments, formative evaluations, or summative evaluations.

Describes the task of analyzing costs to satisfy funding requirements; support decision-making around intervention selection, testing, and piloting; and plan for scaling up and sustainability.

Presents how teams can develop a visual logic model that shows inputs, activities, outputs, and outcomes needed for the evaluation plan in a structured format to guide the work.

Examines the tasks of sharing findings and recommendations to inform stakeholders of the implementation progress, guide decision-making about the future of the intervention, support advocating for resources, and expand the knowledge base.

Examines how teams can identify questions to help guide monitoring and evaluation, shape the data that are collected and analyzed, and support evaluation partners in developing research questions.

Explores the task of identifying, as a team, if an intervention is effective enough to spread, needs adjustment to improve, or should be discontinued if appropriate.

Describes how teams identify measures, sources, and collection methods to move from the logic model to an evaluation plan, identify any existing data gaps, and pinpoint the tools needed to collect new data.