DOMS™️ provides a learning design engine that applies 20+ years of learning science research, distilled into a four‑step, evidence‑based framework, to help creators build motivation‑driven, mastery‑focused courses. The platform integrates AI tools and a library of 250+ research findings, enabling designers to quickly develop learner‑centric experiences with higher completion rates and satisfaction.
Funding
Funding not disclosed
Founders
Product
Problem
Many learning experiences are designed without applying the extensive research on how humans learn, resulting in low motivation, poor mastery, and low completion rates. Access to up‑to‑date learning‑science findings is often restricted behind paywalls, leaving designers without practical, evidence‑based guidance.
Solution
DOMS offers a learning design engine that embeds over 20 years of learning‑science research into a four‑step workflow and four ready‑to‑use frameworks. The platform continuously curates more than 250 research findings, translating them into actionable templates for learner transformation, objective setting, motivation mapping, and minimal viable content. Designers follow the Discovery, Objectives, Mapping, and Storyboarding steps, using the DOMS frameworks to align content with learners’ goals, manage cognitive load, and scaffold difficulty within the Zone of Proximal Development. The system also provides AI‑assisted tools for rapid feedback generation and objective optimization, helping creators produce learner‑centric courses that boost motivation, mastery, and completion.
Target Audience
Primary users are instructional designers, e‑learning developers, and educators who need a systematic, research‑backed approach to create high‑impact online or hybrid courses.
Features
- Four-step evidence‑based design process (Discovery, Objectives, Mapping, Storyboarding) guided by PhD‑level research
- Learner Transformation, ABCD Objectives, Edge of Possible, and Minimal Viable Content frameworks for structured course creation
- Continuously updated library of 250+ learning‑science research items powering the templates and AI suggestions
- AI‑driven feedback and objective generation tools that produce immediate, personalized, and motivational learner interactions
- Built‑in cognitive‑load management guidelines to balance content, activity, and feedback (e.g., 10% prompt, 80% activity, 10% feedback)
- Metrics dashboard showing projected completion rates, motivation scores, and mastery outcomes