Why Having the Data Isn’t the Same as Using It

One of the biggest peeves of almost every professional educator is the feeling that we are wasting time—especially when that time feels like nothing more than busy work. Some assessments feel as though they exist simply because there is a minimum number we are required to administer. And while, in theory, each of them collects valuable information, raw data by itself is functionally useless until someone has the time and capacity to actually analyze it. You might have dozens of data points, but if you cannot make use of them, then you have wasted not only your own time and mental energy, but your students’ as well. This is one of the real dangers of collecting data without a clear plan for how that data will inform instruction.

Your school or district may be different. Perhaps there are established timelines for getting data entered, measured, and analyzed by a certain point. That is certainly better than nothing. But until that process is complete, the data remains instructionally inert. I will continue to use the spelling screener as my primary example—not just because I am familiar with it, but because it is used by hundreds of thousands of teachers across the country, and even around the world—making it a useful case study for examining the difference between collecting data points and generating actionable instructional information.

Now, I know some of my teacher peers are probably going to groan when I say this, but I am the kind of person who starts scoring assessments almost immediately. If I have any free time at all, I begin working through the papers by hand. I have already mentioned my frustration with how long this process takes, but generally speaking, by the end of the week in which the assessment is administered, all of my data—more than 4,000 individual data points entered by hand—has been compiled into a more usable form. I will come back to this point later. That said, I am fully aware that I sit on one side of the bell curve. Many of my colleagues, who are phenomenal educators in every sense, take longer to complete this work amid their many professional responsibilities, often taking it home and carefully working through it over the course of several weeks.

At that stage, the data technically exists. Students have written their spelling words, so the raw information is there, but it has not yet been transformed into a form that can meaningfully guide instruction. Once it has been transferred into the paper matrix, it becomes more useful. I can flip through pages and examine how one student is doing with derivational suffixes, look at another student’s understanding of root words or vowel patterns, and begin using the information as a manual roadmap for forming groups and planning instruction around skills that appear to be common gaps across the class. However, as anyone who has done this work knows, this kind of manual comparison takes time—especially when you are examining nearly a dozen different skill domains across close to fifty students.

At this point, the data has moved from being purely raw—simply written student responses—to a partially processed state. There are now numbers attached to that information, and the assessment can be used in a basic, if limited, way. But—and this is a significant “but”—for me this still takes hours spread across several days. For other teachers, it can take weeks or even a month. During that window, whether it is days or weeks, we are losing valuable instructional opportunities while the data waits to become usable.

A clear example of this occurred with one of our root-word skills. By the time I finished scoring the assessments and identifying areas of need, my class had already moved past a lesson that addressed exactly the kind of root words many students were struggling with. There was no way for me to know this in advance; the analysis had to come first. While I did still teach the lesson, I did not give it the increased emphasis or targeted reinforcement I would have provided had I known how significant that gap was for so many students. And this is coming from someone who is relatively quick to score and compile data. It raises an uncomfortable question: how many more learning opportunities are missed when analysis takes even longer?

It does not have to be this way. As I mentioned in previous articles, one of the most meaningful benefits I noticed after digitizing my spelling screener was the elimination of these delays. Instead of waiting hours, weeks, or even a month to access usable information, I can see it almost immediately. I can review class composites, examine individual student results, and identify patterns within minutes of students submitting their responses. Information that once took hours of manual work just to surface is now available in a form that is immediately usable the moment students click “submit.”

This means I can begin working with students on phonics patterns and spelling issues the same day the assessment is given. While this obviously saves me hours of clerical work, the more important shift is that the information becomes immediately actionable. It is also instantly shareable. I can share it with our ELA coach, compare it with my peers’ data, and collaborate with our multilingual learner support team right away. In the past, we brought piles of paperwork to PLCs so we could slowly work through student needs together, only to then be expected to enter the same information into a digital spreadsheet afterward so it could be shared more broadly. In other words, the data had to be processed twice—once on paper and once digitally.

A fully digitized screener removes that entire middle step. With information that is immediately usable and shareable, grade-level teams can begin making instructional decisions within minutes instead of weeks. We can form groups, identify trends, and respond to student needs in coordination with instructional coaches far more efficiently. For anyone who has ever done this work entirely on paper, the benefit is obvious: raw data is transformed into instructional insight.

Digitization also opens up additional analytic possibilities. Using Google Forms, I can view response distributions in bar-graph form and immediately see how many students spelled—or misspelled—a word in a particular way. If thirty out of fifty students spelled the word shack as shaq, I instantly know that this is a phonics pattern that requires direct attention, and likely a comprehension issue as well—especially considering the sentence context in which the word was used. These are patterns that would have taken hours to uncover manually, if they were uncovered at all.

This brings us back to the central idea: data is only valuable when it is usable. Until it reaches that state, it is not just unhelpful—it actively wastes instructional time. Data must be collected with a clear instructional purpose and an equally clear plan for analysis and response. Knowing how students are performing in phonics is important, but that importance only matters if the information becomes available in time to influence teaching and learning. If data never reaches a usable state, then it functions as academic busy work, costing both teachers and students valuable learning time.

The specific assessments you administer may differ from mine, but the principle remains the same. Until data has been organized, analyzed, and interpreted in service of the purpose for which it was collected, it cannot do the work we expect it to do. This is why timely analysis matters. When data becomes usable quickly, we redeem our time and our students’ learning opportunities. When it does not, we risk l

etting both slip away.