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EdTech & Learning Products

Learning Product Design Grounded in Real Science

Learning product strategy grounded in Testing Effect, Noticing Hypothesis, and spaced practice research. Product audits, curriculum design, and exercise taxonomy for digital learning tools.

Timeline 1–4 weeks
Investment $1,000–$5,000
FigmaPythonDjangoFlutterClaude API
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Learning design document

Content architecture, exercise taxonomy, and progression logic based on cognitive science research.

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Product roadmap

Feature prioritisation grounded in pedagogy — what to build first for maximum learning outcomes.

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Product audit

Review of existing learning product — identify what's hurting retention and what's working.

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Exercise design

Custom exercise types designed for your content — not copied from Duolingo, but built for your learning goals.

01
Learning goal definition

What does mastery look like? How will we measure it? Concrete outcomes, not vague objectives.

02
Content architecture

How content is structured, sequenced, and reviewed. Application of spaced repetition and interleaving principles.

03
Exercise taxonomy

Exercise types mapped to learning objectives — recognition, production, recall, and transfer.

04
Prototype & validate

Low-fidelity prototype of the learning flow, tested with real learners before full development.

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Research shows that actively retrieving information (testing yourself) produces stronger memories than passively reviewing it. This is why exercise-based learning apps outperform flashcard review — and why my apps use multiple active recall exercise types.
Learners acquire language features they consciously notice in input. This informs how I design exercises — drawing attention to the exact grammatical feature being learned, not just presenting it passively.
Yes — learning UX has specific constraints that general UX doesn't address: cognitive load management, motivational design, and the tension between challenge and confidence. I design for these specifically.
Yes — a 1-2 week audit covering content structure, exercise design, retention mechanics, and UX. You'll get a prioritised list of what to fix and why.
Language learning is my deepest domain. But the principles — spaced repetition, active recall, interleaving — apply to any skill-based learning. I've consulted on coding education and professional certification prep.
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Let's build your edtech product consulting | pedagogy-first learning design

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