The course is expected to take 30 minutes to complete. You may complete the course in one sitting or return at a later time to complete it.         View Course              This module focuses on collecting informal diagnostic data to guide intensification decisions within the data-based individualization (DBI) process.

This staff story features Dr. Jon Potter as he shares how the question "How can schools use data to make better decisions and improve outcomes for students?" drives his work.

"Don't throw the baby out with the bathwater. This is the perfect frame for how I view a gap I’ve noticed in the way we implement behavior supports for students." When interventions aren't producing the desired outcomes, it's tempting to abandon an entire approach rather than identify what's working, what's not, and what needs to be intensified or adapted. That’s where DBI offers a powerful framework. Instead of starting over, DBI helps educators use data to make intentional, individualized decisions that build on what students need most.In this NCII Staff Story, Caitlyn Majeika shares her perspective on how DBI can help address this challenge. As NCII's research translation and capacity-building specialist and a senior researcher at AIR, Caitlyn brings more than a decade of experience supporting schools in implementing sustainable behavior practices, PBIS, classroom management, and data-based decision making.

In this webinar, Dr. Katie Valentine presents a step-by-step process for analyzing errors in a student’s writing and demonstrates how educators can use information from error analysis to make data-informed decisions about how to intensify instruction and better align intervention supports with individual student needs.

In this webinar, Drs. Sarah Powell and Alison Hardy present a step-by-step process for analyzing errors in a student’s mathematics work and demonstrate how educators can use information from error analysis to make data-informed decisions about how to intensify instruction and better align intervention supports with individual student needs.

In this webinar, Dr. Jessica Toste presents a step-by-step process for analyzing errors in a student’s oral reading. She demonstrates how educators can use information from error analysis to make data-informed decisions about how to intensify instruction and better align intervention supports with individual student needs.

This webinar provides an overview of the role diagnostic data plays in adjusting instruction and intervention within the data-based individualization (DBI) process.

The annual report summarizes NCII’s progress toward meeting project goals during the fourth year of project funding (October 2024-September 2025).

This archived webinar shares how to distinguish technical versus adaptive challenges and provide strategies and tips for overcoming these barriers to support effective implementation of DBI.

This tip sheet provides an overview of how to analyze students’ errors in oral reading and spelling to help inform instructional decisions.