ADATA's quality reporting process was a 15-day manual operation controlled by a single specialist, with ~US$200M in quality-driven decisions depending on spreadsheets and tacit knowledge. I led the end-to-end design of the platform that replaced it, in three phases, over 1 year and 10 months, inside a security-restricted, on-premise manufacturing environment.

Quality reporting at ADATA depended on a single specialist with decades of tacit knowledge, working on raw, low-level production data that required manual interpretation. This created a fragile system where speed, accuracy, and scalability were structurally limited, and where reporting quality directly exposed the organization to operational risk, financial impact, and loss of trust. Solving this problem required more than digitization — it demanded redesigning how data, responsibility, and decision-making flowed across the system.

At the start of the project, the client framed the problem as 'we need reports faster.' My first job was to understand whether speed was the real goal, or a proxy for something deeper. Through stakeholder interviews and analysis of past reporting failures, three distinct goal layers emerged: what the business needed to protect, what users needed to do their jobs, and what would tell us, objectively, if we'd solved the right problem.

Starting with dynamic whiteboard sessions, I rapidly transformed raw ideas into low-fidelity wireframes in Figma. This collaborative approach allowed immediate validation with stakeholders, ensuring every concept was aligned with business needs.
From rough sketches to digital prototypes – each step iterated in real-time based on stakeholder feedback.

Every user flow, rule, and automation was meticulously documented. This blueprint provided the technical team with the clarity needed for flawless backend integration, ensuring that no detail was overlooked

Detailed documentation bridges design and development, making complex workflows easily understandable.

Leveraging the power of Chakra UI 2.0, I contributed to the development of a robust design system with reusable components and micro-interactions. This collaborative approach streamlined the design process and ensured a consistent, scalable user experience across all touchpoints.
Reusable design components create a unified, intuitive interface – simplifying complex requirements into a clear visual language.

Every week, I bring new iterations to life. Early designs, sketched and refined, are quickly transformed into interactive prototypes. By presenting these prototypes to stakeholders, I gather real-time feedback that drives swift and effective design improvements.

Parallel to prototyping, I validate each design iteration using comprehensive data tests. Detailed reports compare historical performance with manual process benchmarks, revealing critical gaps and guiding precise adjustments. This rigorous testing ensures that every design update is backed by quantifiable results

The transformation was both systemic and measurable.

For the product ecosystem, the Design System improved cross-platform consistency and reduced engineering’s design maintenance workload by 35%, enabling faster releases across the entire company. The migration to Shadcn modernized the stack and gave developers far more flexibility and speed.

Operationally, products built on top of this ecosystem delivered significant business outcomes. The automated Quality Reporting platform reduced report delivery time by 99%, unlocking real-time insights for manufacturing teams. The redesigned SPC workflow reduced machine downtime from hours to minutes, enabling earlier defect detection and improving operational reliability.

Most importantly, ADATA shifted from a scattered toolset to a cohesive SaaS ecosystem, where systems talk to each other, share data, and reinforce a unified operational flow. This ecosystem approach now supports how the organization builds, scales, and maintains every new product going forward.

The Quality Report stands as a testament to how an end-to-end design process can transform critical operational workflows. By eliminating bottlenecks, reducing risks, and enhancing scalability, we turned complex requirements into a simple, intuitive, and secure interface that directly boosted business efficiency and quality.