The Decision Framework

Title AliasThe Decision Framework
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The Decision Framework (DF) is a tool designed to assist District Leadership Teams (DLT), Building Leadership Teams (BLT), and Community School Leadership Teams (CSLT) in making informed decisions – based on what their data tell them – about where to spend their time, energy and resources to make significant and sustainable improvements in student performance. To that end, the DF will help these teams:

  • Sort through and categorize data in meaningful ways;
  • Prioritize areas of need and make decisions based on an analysis of data;
  • Identify root causes of prioritized needs; and
  • Develop a more focused plan leading to improved student achievement.

The DF is the primary power tool in Stage 1 of the Ohio Improvement Process (OIP). As one of a set of connected tools, the DF results in a profile based on what DLTs, BLTs, or CSLTs identify as their major priorities that when submitted, automatically populate the needs assessment of the Comprehensive Continuous Improvement Plan (CCIP).

The DF asks essential questions to help districts, buildings, or community schools identify and analyze critical components (e.g., curriculum alignment and accessibility) for improving the academic performance of all students, including subgroup populations. The essential questions are organized around the following four levels:

LEVEL 1: Student Proficiency (Graduation Tests, Achievement Tests, KRA-L)

LEVEL 2: Instructional Management (Curriculum, Assessment and Instructional Practice; Educator Quality; Professional Development)

LEVEL 3: Expectations and Conditions (Leadership, Climate, Parent/Family, Students and Community Involvement)

LEVEL 4: Resource Management
Following completion of the DF, the team prioritizes areas of greatest concern, as well as causes contributing to those areas of concern. These decisions provide the foundation for creating a focused plan with a limited number of goals (two to three) and a limited number of strategies and actions for addressing the goals.

Type of DataAssessment data, discipline, sub-scale data, climate data imported from ODE data warehouse. Included all test results.
Data SourceODE Data Warehouse

Many data sources are automatically queried and pre-populated.

  • State Support Teams work with targeted, high support districts and schools.
  • Educational Service Centers work with medium support districts and schools, and all others
  • requesting assistance.
  • For more information, contact Pamela Vanhorn, Director,