Describe the data-based decision-making cycle you would use to determine if a student needs intensified intervention under MTSS.

• A. Implement Targeted Intervention, Monitor Progress, Collect Baseline Data, Analyze Trend Data, Set Goals, Adjust Intensity, Document Decision Rules.
• B. Collect Baseline Data, Set Goals, Implement Targeted Intervention, Monitor Progress with Fidelity, Analyze Trend Data, Adjust Intensity or Discontinue, and Document Decision Rules.
• C. Ignore data and rely on intuition to decide.
• D. Wait for a district-wide decision before taking action.

Answer: (B)

At the core of MTSS data-based decision making is using student data to guide support. Start by collecting baseline data to know exactly where the student stands before any intervention. This gives a concrete starting point and clarifies which skills or areas need focus. Next, set clear, measurable goals tied to that data so you have a target to aim for. Then implement the targeted intervention, making sure it’s delivered with fidelity so the results reflect the intervention itself, not variations in how it’s given. After that, continuously monitor progress with reliable measures to track how the student is responding over time. Analyzing trend data from those progress checks helps determine whether the student is making expected gains or if progress has stalled. If improvement isn’t happening, adjust the intensity or discontinue appropriately, and document the decision rules used to guide the change. This ongoing cycle ensures decisions are data-informed, timely, and transparent, aligning supports with student needs rather than relying on intuition or district delays.