What is an EdTech pilot process?

An EdTech pilot is a small, structured trial that lets schools test a tool before going all in. It's different from informal testing because it has clear goals, chosen participants, a set timeline, and a real evaluation at the end. The Digital Promise EdTech Pilot Framework lays out eight steps grouped into four phases: Preparation and Discovery, Planning and Implementation, Data Collection and Analysis, and Finalization and Sharing. Pilots cut risk, build buy-in with teachers, and make sure the tool you pick actually serves your school's goals.

Key takeaways

• A pilot is a small, formal trial with clear goals, not a casual test run.

• Start with the problem you want to solve, then look at tools.

• Teacher training has to happen before the pilot starts, not during it.

• Collect both numbers and stories while the pilot runs.

• A strong pilot result is the start of procurement, not the end of the work.

Identifying the need before selecting a tool

The pilot starts way before you pick a tool. Districts should write down the exact teaching gap or learning problem they want to fix first. Common starting points include low engagement in a subject area, gaps in differentiated instruction, or uneven formative assessment practices. Knowing what you want to change makes everything that comes next sharper.

If the problem isn't clear, you can't tell whether the tool worked. Once the need is named, shortlist tools based on how well they match your teaching goals, your IT setup, your data privacy rules, and the funding you actually have. Tools that look great in a demo but don't fit your context will never deliver in your classrooms.

Building the pilot plan

Step 1: Define goals and set measurable success metrics

Your goals should be specific and tied to student outcomes. Think reading fluency scores going up, more assignments turned in, or higher daily engagement. Pick the metrics before the pilot starts, not after, so the results stay honest when it's time to look at them. Keep the list short so teachers can actually track it during a busy semester.

Step 2: Select participants intentionally

Choose teachers who are willing and ready, not just the ones with open prep periods. Their feedback is what shapes the call to scale or stop. For students, pick groups that look like the school as a whole, and include English learners and students with IEPs so you can check accessibility and equity from day one.

Step 3: Establish a timeline aligned to academic and budget cycles

Pilots run cleaner when you skip high-stakes testing windows and end-of-year chaos. Budget cycles matter too. If the pilot goes well, you'll need time to talk licensing and funding before the next school year kicks off. Put the start and stop dates in writing so the team isn't guessing later.

Step 4: Prepare infrastructure and confirm data privacy compliance

Loop in your IT team early. They need to confirm the tool works with your LMS, rostering, and SSO setup. Vendors also have to meet your district's privacy standards. Check FERPA, COPPA, and any state rules before a single student logs in. SchoolAI's Trust Center is a good model for the kind of clear privacy answers you should expect from any vendor.

Training teachers before the pilot begins

Tech training alone won't cut it. Teachers need coaching on how the tool fits into the lessons they're already running, not a click-through walkthrough of every button. Training has to happen before students log in, not during the pilot, or you'll burn pilot time on troubleshooting, and the data won't be clean. Teachers who get both the how and the why of a tool can spot what's working and what isn't with much more clarity.

Schools should also set up a clear support contact, whether that's a district tech coach, a vendor rep, or a peer who is a step ahead. When something goes sideways mid-pilot, and something always does, teachers need to know exactly where to turn so the work keeps moving.

Collecting data during the pilot

Two kinds of data matter, and you need both at the same time. Quantitative data covers usage, login frequency, completion rates, and pre and post-performance. Qualitative data comes from teacher and student surveys, short interviews, and informal classroom observations. Surveys should also go to school leaders when it makes sense, so you capture the full picture. The more channels you build in, the harder it is to miss something important.

Active usage tells its own story too. A tool with strong adoption numbers but weak learning growth is very different from one with low usage but real gains. Equity-centered feedback means checking whether certain student groups are using the tool less, struggling more, or getting less out of it than peers. Data collection has to start on day one, not in week six. You need baseline numbers in hand before launch, or you have nothing to measure against later.

Evaluating results and making the call

When the pilot wraps, line your data up against the goals you set during planning. That comparison is what turns a pilot into a real decision instead of just a memorable experience. Ask the honest questions: Did student outcomes actually improve? Did teachers find the tool worth the trade-offs? Did it work for every group of students, not just some?

When you can, compare the pilot group to a non-pilot group. That gives you the cleanest read on the tool's actual impact. Three outcomes are all fair calls: scale the tool district-wide, keep piloting with tweaks, or stop and pick a different direction. Each one is the right answer when it's backed by evidence and shared openly with your team.

From pilot to procurement

A great pilot doesn't mean the deal is done. Procurement is its own job, with its own due diligence. Look hard at the total cost of ownership, including licensing fees, per-seat costs, and multi-year contracts. Ask vendors what training and implementation support is baked into the price and what costs extra.

Push for long-term product roadmaps and ask what happens to student data if you don't renew. Whatever you decide, write down the findings and share them. Other districts are working through the same questions you are, and being open about what worked and what didn't makes the whole field stronger over time.

How SchoolAI supports what your pilot is looking for

SchoolAI is built for what comes after the pilot decision. It gives teachers continuous, real-time insight into how each student approaches learning, the questions they ask, the strategies they try, and the spots where they get stuck. Instead of waiting for a quarterly test or a static score, SchoolAI captures the learning process as it happens so teachers can adjust in the moment. The pilot helps you choose wisely, and SchoolAI helps your teachers act on what they learn every day. See how SchoolAI works in your classroom. Try it free or request a demo today.