TPE Lead

Data Hub

Data Foundations

Data is not about numbers. It's about clarity. Whether you're looking at instructional trends, behavior referrals, attendance dips, or walkthrough patterns — the goal is the same: to identify what's happening, decide what it means, and act with intention. If data doesn't lead to a decision, it becomes noise.

Start With the Problem — Not the Spreadsheet

Before you open any report, ask:

  • What concern am I trying to understand?
  • What decision needs to be made?
  • What would improvement actually look like?

When you start with the spreadsheet, you chase numbers. When you start with the problem, you look for patterns that matter.

Collect With Purpose

Not all data is useful. The best data:

  • Connects directly to a priority
  • Is consistent over time
  • Helps you identify trends (not one-off events)
  • Leads to a next step

If you're collecting something but never using it to adjust instruction, systems, or support — reconsider it. More data is not better, better data is better.

Look for Patterns Before People

This applies across the board: instructional dips, behavior spikes, attendance drops, walkthrough inconsistencies. Before jumping to individuals, look for patterns across grades, classrooms, time, subgroups, etc. Patterns signal systems, isolated issues signal support.

Leading vs. Lagging Indicators

Some data tells you what already happened. Some data tells you what's happening right now. End-of-quarter scores, final grades, and yearly totals are lagging. Walkthrough trends, referral patterns, and attendance shifts are leading. If you only monitor lagging indicators, you're always reacting. Staying aware of, and paying attention to leading indicators is key to quick, proactive action.

Data Should Narrow Your Focus

One of the biggest leadership mistakes is trying to fix everything at once. After reviewing data, you should be able to say:

  • "This is our focus."
  • "This is the lever we're pulling."
  • "This is how we'll monitor it."

If analysis creates more confusion instead of more clarity, pause and simplify.

The Three Questions That Always Matter

No matter what type of data you're reviewing, start here:

  1. What patterns are consistent?
  2. What does this suggest about our systems?
  3. What is the ONE next move?

If you can answer those clearly, you're ready to act. If you can't, keep refining the problem — not the spreadsheet.

Choose a Data Category

Instructional Data

Determine whether Tier 1 instruction is strong enough to support most students.

Behavior Data

Determine whether your Tier 1 systems are working or if you're reacting.

Attendance Data

Determine whether students are consistently accessing instruction.