AI-Powered Digital Practice for Students

Overview

Building interactive assessment tools that deliver instant AI feedback to students, with a focus on accessible input design and high-quality, accurate evaluation.

Focus

Student-centered UI design

Extensive iteration on input interfaces that are intuitive for students while producing structured, machine-readable responses.

Deterministic input constraints

No computer vision: input types are carefully scoped to ensure accurate, unambiguous capture for downstream AI processing.

Instant AI feedback

Ongoing tuning of feedback quality across different assessment types, iterating based on real outcomes.

My Role

Leading design

Owning the full design process — from input UI exploration to iterating on what works for students and what the technology can reliably capture.

Building new processes from scratch

This work is new territory for the company. I've helped define workflows and team processes to make fast, structured iteration possible.

Partnering with the product manager

Tracking the many moving pieces, maintaining prioritization, and keeping the team's focus on learning — ensuring every round has clear hypotheses to test.

Closing the learning loop

Making sure insights from each iteration are clearly translated into next steps — building a repeatable cycle of test, learn, and improve.