I once opened a data binder that was gorgeous. Color-coded tabs. Every page dated. Every box filled in. And every goal said the student was at 80 percent. For six months.
Nobody was lying. The data just wasn’t telling anyone anything new, so nobody really looked at it anymore. It had become something we did for the binder, not for the student.
If that sounds familiar, you’re not alone. IEP progress monitoring is one of the most common things teams ask me about, and it’s one of the easiest places for good intentions to turn into paperwork. Here’s the question I ask every team now:
If this number dropped tomorrow, would anyone change what they’re doing?
If the answer is no, the data isn’t driving instruction yet. Here are four fixes that help.
1. Make the goal measurable before you measure it
A lot of flat data starts with a fuzzy goal. “Will improve reading skills” can’t be measured the same way twice. “Will read 20 CVC words with 90 percent accuracy across 3 consecutive sessions” can.
That’s not just best practice. The Individuals with Disabilities Education Act requires every IEP to describe how a student’s progress toward annual goals will be measured. Before you change your data sheet, read the goal out loud and ask: would two different adults measure this the same way? If not, that’s your first fix.
I also look for goals that have been copied forward year after year. I once reviewed an IEP where the same goal had been copied for three years in a row. That’s a sign the goal needs a fresh look, not more data.
2. Collect less data, more often
With IEP progress monitoring, teams often try to collect everything, every day, and end up filling it in at 3:15 from memory. I’d much rather see three quick trials during the actual lesson than 20 boxes filled in after dismissal. Small, frequent data is more honest data.
Keep the sheet at the station where the skill is practiced. If it takes more than 30 seconds to record, it’s too complicated.
3. Decide your decision rule ahead of time
This is the piece of IEP progress monitoring most teams skip. Before you start collecting, decide what the data will tell you to do. For example, if the student is below 50 percent for 4 sessions in a row, change the prompt level. If they hit the target for 3 sessions, increase the difficulty or move toward using the skill in new places.
When the rule is written down, data meetings get faster and more focused. You’re not debating feelings. You’re following a plan you already agreed on.
4. Look at the graph, not just the numbers
In IEP progress monitoring, a column of percentages hides a lot. A simple line graph shows you in seconds whether a student is growing, stuck, or sliding. You don’t need fancy software. A hand-drawn graph on the data sheet works.
When I led the rollout of an IEP data platform with more than 80 special education teachers, the biggest shift wasn’t the technology. It was teams finally seeing their data as a picture and asking, “So what do we do about that line?”
Make IEP progress monitoring work for your team
Good IEP progress monitoring is small, frequent, and actually changes what happens on Tuesday. It isn’t about collecting more. It’s about collecting the right things and using them.
If your team is drowning in data that isn’t helping, I can help you sort it out. Learn more about my IEP and data support for schools and districts, or email me at [email protected].
I’ll also be digging into this at the CEC 2027 Convention in my session, “From GOALS to Growth: Writing IEP Goals and Collecting Data That Drive Instruction.” If you’re going, I’d love to see you there.