An AI-powered platform for K-12 schools that streamlines grading, surfaces learning analytics, and gives both teachers and school leadership the data clarity they need to make better decisions.

As founding design lead, I owned the end-to-end design process from early research and system architecture to final UI delivery. I also acted as proxy PM in the early stages, and took on design team management as the team grew.

While teachers are buried in manual grading and repetitive admin work, school leadership lacks the data visibility needed for quality control and meaningful decision-making, all across disconnected tools with no unified system in place.

Conducted interviews and contextual research with 10+ teachers across 5+ international schools, alongside competitive analysis of leading teaching management tools.

common pain points

• repetitive grading work: teachers spend excessive time on manual input, scoring, and review with no automation or intelligent assistance.
• inconsistent evaluation standards: no unified grading flow means scoring varies across teachers and departments, making cross-case comparison and compliance review unreliable.
• limited learning insights: performance data exists but is fragmented, making it hard to turn into actionable teaching decisions or identify student knowledge gaps quickly.
• broken workflow continuity: the full instructional cycle spans multiple disconnected tools, creating constant context-switching and rework.

one connected workflow, three teaching phases

Designed an AI-assisted platform structured around before, during, and after teaching. It covers assignment creation, AI-assisted grading, progress monitoring, learning analytics, and parent communication in a single workflow. AI handles the repetitive work by default, teachers stay in control of every decision, and school leadership gets the data visibility they need without extra steps.

human-in-the-loop grading

AI suggests scores based on preset rubrics. Teachers accept, adjust, or override, keeping grading consistent across departments while cutting down manual effort.

analytics that actually drive decisions.

Every graded assignment feeds into a structured analytics layer, surfacing knowledge gaps across students, assignments, and classes in one view. Actionable for teachers, reportable for leadership.

the platform launched, got funded, and is heading into schools across thailand and laos.

• first platform in the region to offer structured grading and learning analytics
• 40% reduction reduction in manual grading time
• secured $100k in angel funding
• showcased at Edtech Asia Summit 2025