Built by a parent who saw the gap up close

I'm not a teacher. I didn't come from EdTech. But when my child started struggling with reading, I started paying very close attention to the world teachers work in and what I saw surprised me.

Teachers weren't failing struggling readers because they didn't care. Every teacher I spoke to cared deeply. They were failing them because they didn't have the tools to act fast enough, at scale, with the kind of data that actually tells you what to do next.

In a class of thirty, some children learn very quickly how to hide that they cannot read properly. They are not disruptive. They are not obviously struggling. They are quiet, they get by, and they fall further behind. That is the gap I built CanDoLearn to close.

When I looked at what schools had available, I found broad reading platforms with lots of content but very little intelligence, and specialist intervention software that was powerful but too expensive, too complex, and too disconnected from a teacher's daily workflow.

Neither type answered the question I kept asking: how does a class teacher, this morning, with thirty minutes before the day starts, know who needs help, what kind of help they need, and what to do next?

Nobody had built that screen. So I built it.

The Teacher Intervention Cockpit is the centre of the platform. It gives teachers one screen to triage a cohort, assign personalised support, and track whether it is working without digging through spreadsheets or separate pupil records.

It shows risk distribution, confidence signals, and a priority queue of learners who need attention right now, with recommendation reasons attached.

From there, teachers can assign a personalised reading session, spelling plan, or writing prompt in a couple of taps, with British English content matched to the learner's profile at a level that stretches without overwhelming.

A learner who feels anxious about reading does not just dislike the session. In many cases the threat response takes over and the learning does not happen, however good the content is.

Most reading platforms are built for engaged readers who will persist through getting things wrong. CanDoLearn is built for the pupils who need the work to meet them exactly where they are: not dumbed down, not babyish, but genuinely at the right level and delivered without the pressure signals that trigger shutdown.

We call that confidence-safe mode. It is not a feature bolted on at the end. It is the design principle that runs through the product.

Intervention programmes often fail because of friction rather than content. If setup is slow, training is heavy, and the data takes half a term to become meaningful, busy schools do not use the programme consistently.

We built CanDoLearn to be pilot-ready from day one. Schools can upload a cohort, set targets, start learner sessions quickly, and see baseline data populate from the first sessions.

Baseline in week zero, midpoint review in week three, evidence report in week six. That is deliberate. A tool that requires a specialist to interpret its own data is not a practical tool for teachers.

The cost of missing literacy gaps early is enormous, and it falls hardest on the children already carrying the most.

CanDoLearn does not pretend to solve everything. What it does is give teachers something they often have not had before: the right signal at the right time, with a clear next action attached.

That is what early intervention should look like. Not a programme running beside school life, but a tool woven into the teacher's existing workflow, generating data that is useful rather than overwhelming and learning experiences pupils will actually return to.

CanDoLearn is open, and we are looking for a small number of UK schools to join the founding pilot cohort.

That means a free six-week pilot with support, direct access to me, and a real say in what gets built next. It is not an enterprise rollout. It is a focused partnership with schools that want to shape something practical.

If it works for your school, we can have a straightforward conversation about continued access. If it does not, you still leave with six weeks of real intervention data and a clearer picture of your cohort than you had before.