The Evidence Behind Our Products

Only 7% of EdTech products have rigorous evidence backing their design. Ours do. Every product is built on peer-reviewed cognitive science, behavioral economics, and learning research.

10
Peer-reviewed learning science principles applied across all products
93%
of competing EdTech tools have zero evidence base (Stanford, 2025)
2-sigma
advantage of 1-on-1 tutoring our AI coaching replicates (Bloom, 1984)

10 Research Principles

These principles guide every design decision across CoinQuest, MarketSapien, and Adulting Academy.

01

Progressive Disclosure

Tognazzini (MIT Media Lab); Nielsen Norman Group

Present core value immediately, then reveal complexity on demand. Our apps show one concept at a time — the next layer unlocks only when the learner demonstrates mastery.

40% reduction in cognitive abandonment
02

Cognitive Load Management

Sweller (1988); Mayer's Cognitive Theory of Multimedia Learning

Working memory holds 4 plus or minus 1 chunks. Every screen is audited against Hick's Law. Our interfaces present 2-3 choices maximum per stage. Extraneous elements are ruthlessly removed.

Aligned with Hick's Law decision-time optimization
03

Dual Coding & Contiguity

Paivio (1971); Mayer's Contiguity Principle (2001)

Visual + verbal presented simultaneously yields 6x retention vs text alone. Every teaching moment pairs narration with coordinated illustration at the exact same time.

6x retention improvement over text-only
04

Retrieval Practice & Testing Effect

Roediger & Butler (2011); Karpicke & Roediger (2008)

Testing during learning boosts retention 30-50% over re-reading. Every module embeds micro-assessments between concept blocks — woven into the learning flow, not bolted on at the end.

30-50% retention boost
05

Personalization at First Touch

McKinsey Digital (2023); Bernstein et al., MIT Sloan

We ask one question at first touch — age, role, or goal — and the entire experience reshapes. CoinQuest grade-locks content. Adulting Academy adapts to life stage. MarketSapien maps your evolution.

71% higher engagement (McKinsey)
06

Micro-Commitment Escalation

Cialdini (2006); Freedman & Fraser (1966) — Foot-in-the-Door

Our demos require no signup, no email, no credit card. Each small commitment builds psychological investment. By the time we ask for a subscription, the learner has already invested 15+ minutes.

3-5x higher conversion than gate-first models
07

Variable Reward Scheduling

Eyal, "Hooked" (2014); Skinner's Operant Conditioning

Unpredictable rewards create habit loops. Surprise celebrations, unexpected badge unlocks, hidden bonus modules, and streak bonuses appear at variable intervals.

3x stronger dopamine response than predictable reward
08

Loss Aversion Framing

Kahneman & Tversky, Prospect Theory (1979)

Losses are felt 2x more intensely than equivalent gains. Our progress systems leverage this — streaks that can be broken, scores that decay without practice, positions lost without engagement.

2x motivational intensity (Prospect Theory)
09

Endowed Progress Effect

Nunes & Dreze (2006), Journal of Consumer Research

People who believe they've already started are 2x more likely to complete. Every new user enters with visible progress — recognizing that choosing to begin IS progress.

34% higher completion rates
10

Adaptive AI Coaching

Vygotsky's Zone of Proximal Development; VanLehn (2011)

Our adaptive engine tracks learning velocity, error patterns, time-between-attempts, and domain preference to deliver content calibrated to each learner's zone of proximal development. When you struggle, it scaffolds. When you excel, it accelerates.

Replicates the 2-sigma tutoring advantage (Bloom, 1984)

Our Methodology

We don't just cite research — we operationalize it. Every design decision maps to a specific principle with measurable implementation criteria.

We are building toward formal efficacy studies as we onboard pilot schools in 2026. If you're a researcher interested in collaborating, reach out.

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