Presents the first task of identifying a problem and provides examples of how to apply strategies. Needs and opportunities for improvement generally emerge through an analysis of source of data or information.

Explores the second task of creating a data plan to investigate the problem further. Creating a well-thought-out data plan helps the team plan for exploring the identified problem and move toward identifying a possible root cause or causes.

Presents the third task of collecting and analyzing data identified in the data plan to help answer research questions. Examining data helps teams tell a more complete story and understand the scope and impact the problem is having on the community.

Introduces the fourth task of identifying possible contributing factors and root causes using different methods. A root cause analysis is a structured approach to understand why a problem occurs using data. Understanding why a problem or unmet need exists helps teams better identify the potential solutions to it.

Explores the fifth task of exploring possible root causes and using data to validate them. Taking time to revisit data, helps teams align on true root cause(s) before moving towards possible solutions.

Presents the sixth and final task, isolating the root cause or causes to address. By isolating, or selecting, the root cause or causes to address as part of a change initiative, teams are able to consider feasible solutions to address the problem.

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.

Identifies the first three steps in the problem exploration process and examines the importance of data, key components of a data plan, and common mistakes to avoid in identifying problems in child welfare.

Identifies the final three steps in the problem exploration process and strategies that can help with analyzing data, root causes and contributing factors of problems, and common mistakes to avoid in problem exploration.

Browse casework activities to use before, during, and after a caseworker visit with children, youth, and families.

Learn how supervisors and program managers can assist child welfare caseworkers in conducting quality visits with parents.