Description
Support effective reading intervention decisions with this clear, step-by-step Data-Based Decision Making (DBDM) reference guide. Designed for interventionists, school psychologists, special education teachers, and MTSS/RTI teams, this resource provides a structured process for analyzing progress monitoring data and determining whether to continue, modify, or change an intervention.
This guide helps teams move beyond guesswork by using trend analysis, fidelity checks, and clear decision rules to ensure students receive the right support at the right time.
Perfect for data meetings, MTSS problem-solving teams, and intervention planning, this printable reference tool walks educators through the full decision-making process—from verifying data quality to documenting intervention changes.
What This Resource Includes
✔ Step-by-step Data-Based Decision Making framework
✔ Prerequisite checklist to ensure data is valid before making decisions
✔ Guidance for analyzing progress monitoring graphs and trend lines
✔ Clear pattern classifications (on track, accelerating, slow progress, variable, flat, declining)
✔ Research-aligned decision rules for when to continue, modify, or change an intervention
✔ Practical intervention modification strategies
✔ Structured team meeting agenda for data reviews
✔ Confidence checklist to verify strong data-driven decisions
✔ Common pitfalls to avoid during progress monitoring analysis
✔ Easy traffic-light system (Green = Continue, Yellow = Modify, Red = Change) for quick decisions
✔ Action steps for implementing the next phase of intervention
Who This Is For
This resource is ideal for:
• Reading Interventionists
• Special Education Teachers
• School Psychologists
• MTSS/RTI Teams
• Instructional Coaches
• Intervention Coordinators
How to Use
Print and laminate this guide to use during data meetings, intervention planning, and progress monitoring reviews. It serves as a quick-reference tool to help teams analyze student data consistently and make informed instructional decisions.
Highlights
Description
Support effective reading intervention decisions with this clear, step-by-step Data-Based Decision Making (DBDM) reference guide. Designed for interventionists, school psychologists, special education teachers, and MTSS/RTI teams, this resource provides a structured process for analyzing progress monitoring data and determining whether to continue, modify, or change an intervention.
This guide helps teams move beyond guesswork by using trend analysis, fidelity checks, and clear decision rules to ensure students receive the right support at the right time.
Perfect for data meetings, MTSS problem-solving teams, and intervention planning, this printable reference tool walks educators through the full decision-making process—from verifying data quality to documenting intervention changes.
What This Resource Includes
✔ Step-by-step Data-Based Decision Making framework
✔ Prerequisite checklist to ensure data is valid before making decisions
✔ Guidance for analyzing progress monitoring graphs and trend lines
✔ Clear pattern classifications (on track, accelerating, slow progress, variable, flat, declining)
✔ Research-aligned decision rules for when to continue, modify, or change an intervention
✔ Practical intervention modification strategies
✔ Structured team meeting agenda for data reviews
✔ Confidence checklist to verify strong data-driven decisions
✔ Common pitfalls to avoid during progress monitoring analysis
✔ Easy traffic-light system (Green = Continue, Yellow = Modify, Red = Change) for quick decisions
✔ Action steps for implementing the next phase of intervention
Who This Is For
This resource is ideal for:
• Reading Interventionists
• Special Education Teachers
• School Psychologists
• MTSS/RTI Teams
• Instructional Coaches
• Intervention Coordinators
How to Use
Print and laminate this guide to use during data meetings, intervention planning, and progress monitoring reviews. It serves as a quick-reference tool to help teams analyze student data consistently and make informed instructional decisions.

