MultiViz 2.0
Project Scope
To evolve MultiViz (v2.0), an AI tool for predictive maintenance. The challenge was transforming a complex, data-heavy dashboard into a clear, focused diagnostic instrument.
Role
Over a year-long redesign, I collaborated with the design and dev teams to restructure the interface. My focus was on prioritizing critical vibration analysis data to cut through the noise and simplify the user workflow.
Outcome
Delivered a streamlined tool that enables faster failure diagnosis, helping industrial users identify risks early and prevent costly downtime.
Following research workshops with R&D and vibration analysts, we restructured the navigation and asset tree. We introduced a tiered dashboard system, allowing users to drill down from a high-level Client overview to specific Factory and Machine details.
We also overhauled the marketing site to better speak to our different user groups. To let the detailed product interface take center stage, we adopted a minimalistic design language. This keeps the focus on the software's capabilities without visually overwhelming the user.
TG0
Viking analytics
LoLo Company
PRIVASEA
SUDIO
Freepower
CapillaryFlow
YUHEI
