BLT Manual

DATA-BASED DECISION MAKING

By utilizing data to guide decision making, teams are better able to focus on evidence-based strategies, enhance student outcomes, address resource disparities, and promote equitable outcomes (IES, 2023). Utilizing data in decision making helps avoid basing decisions on assumptions or potential biases or simply continuing historical practices that are no longer effective, resulting in data-based decisions that will help meet the specific needs of the school community. In a data-based model, data are used to make decisions about initiating a particular support, the need to continue or adjust a support, as well as when to discontinue a support. This same model applies to both system supports (such as a plan for increasing attendance at a school) and individual student or small group supports (such as providing an instructional intervention). The decision-making process is the same, focusing on what change needs to be made to ensure success.

The BLT evaluates and improves school-wide implementation of the MTSS Framework. Having an established problem-solving process with decision rules assists the BLT in determining needs, developing hypotheses about root causes, identifying solutions, setting measurable goals, and monitoring the effectiveness of implementing solutions. The BLT can then identify potential barriers that need to be navigated while also monitoring the impact of implementation in order to make adjustments to meet the ongoing needs of the students and staff (AIR).

Data-based decision making occurs at all levels within a MTSS. The BLT evaluates and improves school-wide implementation of the MTSS Framework.This includes monitoring and evaluating the efficacy and efficiency of schoolwide implementation, while other teams may review group or individual progress. Having clear agendas, roles, and procedures helps to ensure that the BLT remains focused on relevant data and decision making.