Description:
The Tier 3 Data-Based Decision-Making Process is a structured, collaborative approach for developing, implementing, and refining individualized supports for students with significant or persistent academic, social, emotional, behavioral, or engagement needs. Teams use multiple sources of information to define concerns, identify student strengths, understand contributing factors, establish measurable goals, and select individualized interventions that address the student's needs.
The process is ongoing rather than a one-time meeting. Teams monitor student progress and implementation fidelity, review outcomes, and use the data to determine whether supports should be maintained, adjusted, intensified, or faded. Students and families are included as appropriate throughout the process to ensure that decisions are individualized, responsive, and focused on meaningful student outcomes and increased independence.
Importance:
A consistent data-based decision-making process helps teams move beyond reacting to individual incidents or relying on assumptions about why a student is struggling. It provides a common structure for understanding student needs, coordinating expertise, evaluating intervention effectiveness, and making timely adjustments.
An effective process helps schools:
- Make decisions based on evidence rather than impressions alone.
- Connect assessment findings to individualized intervention plans.
- Ensure that goals, strategies, and progress measures are aligned.
- Distinguish implementation challenges from intervention effectiveness.
- Coordinate communication and responsibilities across team members.
- Include student and family perspectives in planning and review.
- Promote meaningful progress, participation, and independence.
- Document decisions and maintain continuity as team members or circumstances change.
Critical Features:
An effective Tier 3 Data-Based Decision-Making Process includes:
- Clearly defined concerns: Teams describe the concern in observable, measurable terms.
- Comprehensive information: Relevant data include student strengths, baseline performance, contextual factors, and response to previous supports.
- Measurable goals: Teams establish specific outcomes and criteria for determining progress.
- Individualized assessment and planning: Assessment findings inform strategies matched to the student's needs.
- Implementation fidelity: Teams determine whether the plan is being implemented as intended.
- Ongoing progress monitoring: Student outcomes are collected and reviewed systematically.
- Collaborative problem-solving: Team members contribute relevant expertise and share responsibility for decisions.
- Documented action steps: Decisions include responsibilities, timelines, and follow-up.
- Established decision rules: Teams determine when to continue, modify, intensify, or fade support.
- Student and family partnership: Their perspectives inform planning, implementation, and review.
Implementation Tips:
- Use a consistent process during Tier 3 student support meetings.
- Define the concern. What specifically is happening, where and when does it occur, and how does it affect the student?
- Review existing information. Examine baseline data, previous interventions, student strengths, contextual factors, and relevant assessment findings.
- Identify contributing factors. For behavior concerns, use functional behavior assessment when appropriate to develop and evaluate hypotheses about the behavior's function.
- Establish a measurable goal. Identify the desired outcome, the measure, and the timeline for review.
- Develop or review the individualized plan. Ensure that strategies align with identified needs and specify who will implement each component.
- Establish data collection procedures. Determine what data will be collected, by whom, how frequently, and where they will be recorded.
- Review fidelity and outcomes. Examine whether the plan was implemented as intended and whether the student is making progress.
- Make a data-based decision. Determine whether to maintain, adjust, intensify, or fade supports based on the evidence.
- Document next steps. Record the decision, rationale, assigned responsibilities, and review date.
- Communicate and follow up. Share relevant updates with the student, family, and team members and ensure that agreed-upon actions occur.
- A useful meeting prompt: What do the data tell us, what decision do we need to make, and what will we do next?
Websites for Additional Information:
Description:
Individual Student Data Review is the structured process through which a student's support team examines information about the student's strengths, needs, performance, behavior, and response to intervention. The team reviews data across relevant settings and routines to identify patterns, evaluate progress toward goals, and determine whether the current plan is meeting the student's needs.
At Tier 3, reviews go beyond looking at isolated incidents or overall averages. Teams examine what happens before, during, and after relevant behaviors or performance concerns; when the student is successful; how responses vary by setting or task; and whether current supports are producing the expected changes.
Importance:
Students with intensive support needs often demonstrate complex patterns that cannot be understood through a single data point or one person's perspective. Structured data review helps teams develop a more complete understanding of the student and make decisions based on evidence rather than assumptions.
Effective review helps teams:
- Identify patterns across settings, routines, people, and time.
- Recognize student strengths and conditions associated with success.
- Determine whether progress is occurring toward individualized goals.
- Identify emerging concerns before they become more significant.
- Coordinate perspectives across home, school, and community.
- Make timely changes to supports when progress is insufficient.
- Ensure that decisions reflect student needs, dignity, and equitable access.
Critical Features:
- Clear questions: The team identifies the question it needs the data to answer.
- Relevant data: Information is selected based on the student's goals and support plan.
- Multiple perspectives: Data include relevant observations and input from the student, family, and staff.
- Contextual analysis: Teams examine setting events, antecedents, routines, task demands, and consequences when relevant.
- Strengths-based review: Teams identify when and where the student is successful, not only when difficulties occur.
- Consistent measurement: Data are collected using agreed-upon definitions and procedures.
- Regular review: Meetings occur frequently enough to support timely decisions.
- Documented decisions: Teams record what the data suggest, what action will be taken, who is responsible, and when progress will be reviewed.
- Privacy and appropriate access: Student information is handled confidentially and shared with authorized team members.
Implementation Tips:
- Start with the goal. Identify the individualized outcome the team is trying to improve.
- Review the baseline. Establish what performance looked like before the current support began.
- Use a concise data summary. Graph progress over time and include important contextual information.
- Look for patterns. Ask when, where, and under what conditions the student is most and least successful.
- Include strengths and student voice. Ask the student and family what is working and what they believe may be contributing to the concern.
- Compare data across sources. Consider whether direct observations, staff reports, progress measures, and family input tell a consistent story.
- Check implementation. Before concluding that an intervention is ineffective, examine whether it was delivered as intended.
- Document the decision. Record whether the team will continue, adapt, intensify, or fade support and why.
- Assign next steps. Identify who will take action and when the team will review the results.
Websites for Additional Information:
Description:
Progress Monitoring for Intensive Supports involves the frequent, systematic collection and review of data to determine whether individualized interventions are helping a student make progress toward measurable goals. The team selects measures that directly reflect the outcomes identified in the student's support plan and collects data at a frequency appropriate to the student's needs and the intervention being implemented.
Depending on the goal, measures may include behavior frequency, duration, latency, intensity, engagement, task completion, academic performance, attendance, use of replacement skills, independence, or other individualized indicators. Progress is examined over time and compared with baseline performance and expected growth to determine whether the current plan is effective.
Importance:
Students receiving Tier 3 support need more than occasional updates or anecdotal reports. Frequent progress monitoring helps teams determine whether the student is responding, whether improvement is sufficient, and whether adjustments are needed before valuable time is lost.
Effective progress monitoring helps teams:
- Determine whether individualized goals are being met.
- Identify early signs of improvement or lack of response.
- Evaluate whether replacement skills are increasing.
- Determine whether challenging behavior is decreasing in meaningful ways.
- Examine whether progress generalizes across settings and people.
- Make timely, defensible decisions about intervention changes.
- Track increasing independence and readiness to reduce support.
Critical Features:
- Measurable goals: Goals describe observable outcomes and include a clear performance criterion.
- Baseline data: Teams document the student's performance before or at the start of the intervention.
- Direct alignment: Measures assess the specific skill or outcome the intervention is intended to change.
- Operational definitions: Behaviors are defined clearly enough that different observers can collect data consistently.
- Appropriate frequency: Data are collected often enough to detect meaningful changes.
- Visual displays: Graphs or other summaries make trends and variability easier to interpret.
- Multiple relevant measures: Teams consider both the reduction of challenging behavior and the development of desired skills.
- Generalization: Progress is examined across relevant settings, routines, and people.
- Decision rules: Teams establish criteria for progress, insufficient response, and needed adjustments.
- Student-centered outcomes: Monitoring includes meaningful participation, access, relationships, and independence—not only reductions in behavior.
Implementation Tips:
- Define the target precisely. For example, replace “improve transitions” with an observable measure such as the percentage of transitions completed within a defined time and with the agreed-upon level of prompting.
- Select a feasible measure. Choose frequency, duration, latency, interval recording, task completion, or another measure that fits the target and can be collected reliably.
- Establish a baseline. Use baseline data to understand current performance and set a realistic, meaningful goal.
- Choose a collection schedule. Determine who collects data, when it is collected, and how it will be recorded.
- Graph the data. Display baseline, intervention start dates, changes to the plan, and progress toward the goal.
- Review more than the trend line. Consider variability, setting differences, unexpected events, student experience, and implementation consistency.
- Examine replacement skills. If the plan aims to reduce challenging behavior, also measure the appropriate communication, coping, engagement, or other replacement skills being taught.
- Review generalization. Determine whether the student demonstrates progress with different adults, peers, activities, and environments as appropriate.
- Use decision rules. Establish in advance how the team will respond when data indicate sufficient progress, limited progress, or worsening outcomes.
- Share progress meaningfully. Provide accessible updates to families and, when appropriate, the student.
Websites for Additional Information:
Description:
Fidelity & Outcome Data examines two essential questions in Tier 3 support:
- Fidelity: Was the individualized plan implemented as intended?
- Outcome: Did the plan improve the student's performance, behavior, participation, or other identified goals?
Fidelity data document whether the agreed-upon strategies were implemented consistently and accurately, including whether staff used prevention strategies, taught replacement skills, delivered reinforcement, followed safety procedures, and collected data as planned. Outcome data show how the student responded.
Reviewing these two types of information together helps teams determine whether limited progress reflects implementation difficulties, an intervention that does not sufficiently match the student's needs, an unrealistic goal, or other factors requiring investigation.
Importance:
Without fidelity information, a team may conclude that a plan is ineffective when key components were not implemented. Conversely, a plan may be implemented consistently but still fail to produce meaningful improvement.
Considering fidelity and outcomes together helps teams:
- Determine whether staff have the training, resources, and support needed.
- Identify implementation barriers.
- Avoid making premature conclusions about intervention effectiveness.
- Distinguish implementation problems from intervention-fit problems.
- Support staff through coaching and problem-solving.
- Use resources more effectively.
- Evaluate whether the plan is producing meaningful, equitable student outcomes.
- Formal fidelity and outcome data collection are foundational to Tier 3 because these data guide problem solving, intervention adjustments, resource allocation, and evaluation of student supports.
Critical Features:
- Defined plan components: Staff know which strategies must be implemented and what implementation looks like.
- Practical fidelity measures: Checklists or observation tools capture the essential features of the plan.
- Outcome measures: Student progress is measured against baseline and individualized goals.
- Consistent collection: Fidelity and outcome data are collected on a planned schedule.
- Multiple sources: Direct observations, records, staff input, and other relevant information are considered.
- Coaching and support: Fidelity concerns lead to problem-solving and support, not simply blame.
- Joint interpretation: Fidelity and outcome data are reviewed together.
- Documented decisions: The team records how data inform next steps.
- Technical quality: Measures are appropriate to the plan and collected as consistently as possible.
Implementation Tips:
- Identify the essential components. Break the individualized plan into observable actions that staff can implement and document.
- Create a fidelity checklist. Include key prevention strategies, instructional components, reinforcement procedures, communication supports, and safety-related components when applicable.
- Clarify responsibilities. Identify who implements each component, who collects fidelity data, and who reviews the results.
- Use manageable measures. Avoid checklists so long or complicated that they are unlikely to be completed consistently.
- Collect fidelity data through more than self-report when appropriate. Brief observations, record reviews, and coaching feedback can help verify implementation.
- Graph outcomes alongside implementation. Mark relevant changes to the plan on the student's progress graph.
- Use a simple interpretation guide:
- Strong fidelity + improving outcomes: Continue the plan and monitor progress.
- Low fidelity + limited progress: Address training, resources, clarity, or implementation barriers before judging the intervention.
- Strong fidelity + limited progress: Revisit the assessment, intervention match, goal, and other relevant factors.
- Worsening outcomes or safety concerns: Review the plan promptly and follow applicable safety and crisis procedures.
- Document support provided to staff. Record coaching, modeling, training, or problem-solving that may improve implementation.
- Review both measures regularly. Use the combined evidence to determine whether the plan should continue, change, or be intensified.
Websites for Additional Information:
Description:
Data-Based Adjustment of Individualized Support Plans is the ongoing process of using student progress, implementation fidelity, functional behavior assessment (FBA) information, and team input to determine whether an individualized plan should be maintained, modified, intensified, or gradually faded.
Teams review whether the plan's strategies are addressing the factors contributing to the student's needs and whether the intended outcomes are occurring. When progress is limited, the team examines the quality and completeness of the assessment, the match between the intervention and the identified need, implementation fidelity, environmental conditions, and the student's response before deciding what to change.
For students whose needs involve challenging behavior, adjustments should be informed by the function of the behavior and by data about prevention strategies, replacement-skill instruction, reinforcement, and relevant consequences. The goal is to make thoughtful, evidence-informed adjustments—not to change interventions simply because a team is frustrated or a student has had a difficult day.
Importance:
Individualized plans need to remain responsive to students. A plan that was appropriate when first developed may require adjustment as the student develops new skills, circumstances change, or data reveal that the intervention is not producing the expected outcomes.
Systematic adjustment helps teams:
- Keep individualized supports responsive to student needs.
- Identify whether an intervention matches the function of challenging behavior.
- Avoid repeatedly using strategies that are not producing progress.
- Strengthen prevention and instruction of replacement skills.
- Improve consistency across adults and settings.
- Make decisions using documented evidence rather than impressions.
- Promote independence and reduce unnecessary restrictions over time.
- Maintain alignment among assessment findings, intervention strategies, and student goals.
Function-based assessment and individualized student-team problem solving are essential Tier 3 practices. An FBA should inform the plan, and subsequent data should help the team determine whether the plan is working as intended.
Critical Features:
- Assessment-informed decisions: Adjustments are connected to the student's assessed needs and, when relevant, the hypothesized function of behavior.
- Clear goals and decision rules: The team knows what progress should look like and when a review or adjustment is warranted.
- Fidelity review: Implementation is examined before drawing conclusions about effectiveness.
- Function-based strategies: For behavior support, the plan addresses prevention, teaching, reinforcement, and relevant responses to challenging behavior.
- Multiple data sources: Teams use progress graphs, direct observation, fidelity data, FBA information, and student/family/staff input as appropriate.
- Systematic changes: The team documents what is changing and why, avoiding multiple untracked changes that make outcomes difficult to interpret.
- Safety and well-being: Urgent safety concerns are addressed promptly through applicable procedures.
- Collaboration: Relevant educators, behavior specialists, families, and students participate as appropriate.
- Follow-up: Each adjustment includes a plan for implementation, monitoring, and review.
- Independence and dignity: Plans promote meaningful participation and greater independence, with supports reduced only when data indicate that doing so is appropriate.
Implementation Tips:
- Review the current plan and goal. What outcome was the plan designed to improve? Is the goal still appropriate and measurable?
- Examine progress data. Compare current performance with baseline and expected progress. Look for trends and variability rather than overreacting to a single data point.
- Review fidelity. Determine whether the agreed-upon strategies were implemented consistently and whether staff had the training, time, and resources needed.
- Revisit the FBA when indicated. If the behavior pattern has changed, the original hypothesis is not supported by data, or the intervention is not working despite appropriate implementation, consider whether additional assessment is needed.
- Examine each part of the plan. Ask:
- Are prevention strategies reducing predictable triggers or setting events?
- Is the replacement skill functional and achievable for the student?
- Has the student received sufficient instruction and practice?
- Is reinforcement timely, meaningful, and connected to the desired skill?
- Are adult responses consistent with the plan?
- Are environmental or instructional factors affecting success?
- Make a specific adjustment. Identify the component to change, the rationale, the staff responsible, and the expected effect.
- Document the decision. Record the data reviewed, the decision made, and the date of the change.
- Set a review date. Establish when the team will evaluate whether the adjustment is improving outcomes.
- Use FBA tracking tools. Track the status of assessment activities, data sources collected, hypothesis development, intervention-plan alignment, and follow-up decisions. Keep assessment-process tracking distinct from ongoing student progress monitoring.
- Plan for generalization and fading. When progress is sustained, consider how skills will be supported across people and settings and whether some components can be gradually reduced without compromising student success.
Websites for Additional Information: