Understand the role of coaching in supporting workers, including coaching functions, effectiveness, models, and strategies.

Learn effective strategies to collect, analyze, and use data related to caseworker visits.

Learn about quality contacts, why they are important, and how an agency can successfully implement them.

Get practical information about supporting coordinated strategic and long-term planning.

See how staff can boost their knowledge and skills for engaging families, community providers, and others.

Explores the task of developing a plan to implement the process and methods outlined in the evaluation plan, gather the information and data needed, and determine the effect of the process or program being evaluated.

Provides an overview of essential functions, or tasks, to monitor and evaluate the implementation and impact of a program or other intervention and apply findings over the course of the change and implementation process.

Explores the tasks of identifying fidelity measures from other sources or developing new ones, developing the tools and protocols, and then using data to make improvements.

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.