Just as biomedical engineering transformed medicine, impact engineering transforms how learning innovations are created, tested, and scaled.
We know more about how people learn than at any point in human history. Cognitive science, neuroscience, social and affective science, and the learning sciences have produced robust insights that could meaningfully improve outcomes for students. Federal and philanthropic investment in education R&D is growing and AI is creating new possibilities. Yet the gap between what we know and what reaches classrooms remains vast. Promising interventions stall in pilot programs. Edtech products launch without evidence of efficacy. Researchers struggle to translate findings into usable tools. The problem isn't discovery—it's delivery. What education lacks is its own engineering discipline: a systematic approach to moving innovations from insight to impact.
Just as biomedical engineering transformed medicine, impact engineering transforms how learning innovations are created, tested, and scaled.
Our team of educational neuroscientists and learning scientists help research and product teams infuse what has been learned through neuroscience and learning science into practice. This includes identifying pedagogical theories of change, developing logic models, incorporating executive function research into product development.
We help researchers and edtech developers co-design projects with communities, students and teachers. This process incorporates the student and educator voice into new developments, ensuring that those new developments are actually useful, usable and effective.
The Total Learning Architecture (TLA) is a standards-based data architecture designed to support the flow of data through modern learning and training technology ecosystems. Our team of learning engineers help edtech developers implement the TLA into their product designs to close the loop on learner efforts and achievements through continuous tracking of learner activities, competencies, and achievements.
Knowledge tracking is the fundamental mechanism for modeling and analyzing learner states. The goal for any learning activity is for the learner to obtain mastery of a given topic, concept or skill, and mastery is often defined by a set of competencies. In bringing together knowledge tracing and competency frameworks, we help teams model and ultimately optimize learner paths to achieving mastery.
Our team of education researchers, neuroscientists, learning scientists and project managers partner with edtech organizations or R&D portfolios to curate and conduct research projects. These research projects are designed to uncover the effective and non-effective components of a learning intervention or learning product, and study the logic models/theories of change that lead to better student outcomes.
Data storytelling is the practice of combining data analysis with narrative techniques to communicate insights in a way that is both informative and compelling. It transforms raw numbers and statistics into meaningful stories that resonate with audiences, drive understanding, and inspire action. Rather than simply presenting data, data storytelling creates a coherent narrative that explains what the data means, why it matters, and what should be done about it.
Our team has extensive experience at leading R&D portfolios, and can rapidly identify which interventions/products are impactful and shift the ones that are not. We can provide all of our service offerings at both the project and portfolio levels. We encourage folks to optimize the power of the portfolio through integrative analytics and economies of scale.
Let's discuss how our impact engineering solutions can transform your educational innovation.
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