proves End-to-end product ownership: workflow design, full-stack delivery, launch, operations, and Agent iteration
A trilingual study-recruitment platform built from product definition through full-stack launch, operations, and a continuously calibrated review Agent.
scenario Hong Kong university study recruitment is scattered across department sites, social media, chat groups, and offline posters. Researchers lack a continuous way to publish, review applicants, schedule sessions, record compensation, and build reputation; participants must repeatedly compare fragmented eligibility, timing, and reward information.
strategy I designed one operating flow for three roles: researchers publish studies, manage time slots, and review applicants; participants browse, enrol, complete studies, and exchange ratings; administrators govern external sources and review submissions. The Agent extracts structured evidence from source pages and posters, detects freshness, duplicates, and publishing risks, then routes proposals to review queues for an administrator to decide.
evaluation A fixed 2026-07-04 production snapshot records 14 Agent runs and 31 review suggestions: 27 were closed, including 22 accepted and 5 rejected. A compensation-amount error was traced to field semantics and became a permanent amount-decomposition rule and policy gate.
outcome The live platform has 81 managed studies (41 published, 38 completed, 2 cancelled), 20 enabled sources, 11 official domains, and 54 platform profiles. The next product stage is B2B outreach to university laboratories and research teams.
project screenshots