A quality checklist workbench. Checklist items are managed structurally, with risk points and countermeasures searchable by both full text and AI semantic matching, in a multilingual interface. Desktop browser and mobile PWA share one dataset, with KSD unified sign-on.
Checklist items are structured and confirmed item by item, leaving an auditable trail — nothing slips through.
Risk points and countermeasures go through vector models, so a natural-language query finds similar past cases; a fallback model switches in automatically.
Separate desktop and mobile installs, incremental Service Worker updates, and a default dark theme.
Quality checklists lived in scattered spreadsheets and paper files; finding a past risk point relied on veteran memory. QuickCheck turns checklists into a structured knowledge base and layers AI vector search on top, so "how did we counter a similar issue before?" becomes one search.
A global search in the top bar covers full text across risk points and countermeasures, while AI semantic search understands colloquial phrasing — reworded queries still hit the right historical cases.
The interface ships with English/Chinese switching, and sign-on goes through KSD-UAP single sign-on — one account across company systems.