What Teachers Value Most When AI Is Used for Coaching

When we first piloted Starlight, we assumed the conversations would centre on efficiency, data and insight. Those things matter, of course. But schools used the platform consistently over an extended period and gathered staff feedback, something else came through far more strongly.

What teachers talked about most was not speed or sophistication. It was how the feedback made them feel, and how it changed the way they thought about their teaching.

This post reflects on aggregated staff feedback from some of our earliest pilot schools. Nothing here is attributed, and no individual or institution is identifiable. What follows is not a testimonial, but a set of patterns that emerged clearly and repeatedly.

Psychological safety matters

A dominant theme in the feedback was trust.

Teachers repeatedly described the experience as private, confidential, and non-threatening. Several contrasted it explicitly with traditional observation, noting that this felt like feedback without exposure. There was no sense of being judged, ranked or caught out. Instead, the process was experienced as something that belonged to them.

That matters. Coaching cannot work if people are braced for evaluation. The data here reinforces a simple truth: professional reflection only happens when psychological safety is genuinely present.

Strengths first changes everything

Another consistent thread was surprise, often pleasant surprise.

Teachers described noticing aspects of their practice that were stronger than they had assumed. Behaviour management, subject knowledge, classroom climate. Things that often go unacknowledged in busy schools were named and affirmed.

What was striking was not just the positivity, but the effect of it. Teachers spoke about feeling encouraged, reassured, and reminded that they were competent professionals, particularly on difficult days or with challenging classes.

Affirmation is not indulgence. It is the foundation that makes improvement possible.

Feedback that shifts thinking, not just technique

Several comments pointed beyond surface-level tips and towards deeper changes in perspective.

Teachers described noticing things they would otherwise have missed. Rethinking how they approached feedback lessons. Reflecting differently on what mattered in their classroom practice.

This kind of feedback does not just generate a next step. It reshapes how people interpret their own work. That is the difference between advice and coaching.

Useful, flexible, and realistic in busy schools

Practicality came through strongly, but quietly.

Staff valued how easy it was to use, and how flexible it felt. They could choose when to engage, with which class, and for what purpose. There was no sense of it being another compliance task bolted on to an already crowded workload.

Several teachers highlighted specific outputs that saved time or added clarity, such as follow-up email support for absent students, or structured feedback for practical work.

What mattered was not that it did everything, but that it fitted around the reality of school life.

The emotional dimension of professional development

Perhaps the most striking aspect of the feedback was its emotional tone.

Teachers described feeling better about themselves. Taking more pride in their teaching. Feeling supported on days when everything else felt overwhelming.

This is not language we usually associate with CPD platforms, but it may be the most important signal of all. Teaching is demanding, often isolating, sometimes lonely work. Any tool that genuinely supports reflection whilst building confidence is doing something rare and valuable.

A quiet lesson for anyone building AI in education

There is a wider lesson here that goes beyond Starlight.

If AI is going to play a role in professional development, the bar needs to be high. Not just technically, but ethically and psychologically. Tone matters. Framing matters. Ownership matters.

Teachers are not resistant to insight. They are resistant to judgement.

What this feedback shows is that when AI is designed to support reflection rather than performance, it can create space for honesty, growth and pride in practice. That should be the standard we hold ourselves to.

Spark Insight with Starlight today and put trust back at the heart of coaching.

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The Insight Engine is written by Adam Sturdee, co-founder of Starlight—the UK’s first AI-powered coaching platform—and Assistant Headteacher at St Augustine’s Catholic College. This blog is part of a wider mission to support educators through meaningful reflection, not performance metrics. It documents the journey of building Starlight from the ground up, and explores how AI, when shaped with care, can reduce workload, surface insight, and help teachers think more deeply about their practice. Rooted in the belief that growth should be private, professional, and purposeful, The Insight Engine offers ideas and stories that put insight—not judgment—at the centre of development.