EARLIER WORK / INDUSTRIAL IOT
Make the critical signal easier to find.
InSight Platform: turbine monitoring that helps operators move from critical signal to diagnostic action.
Operators had hundreds of signals to monitor. Critical alerts had to stand out and lead into useful diagnostics across desktop and mobile.
I designed the navigation and alerting model for the industrial IoT platform.
Give information density an order of attention: identify the critical signal first, then support the next diagnostic action.
The original portfolio reports a 60% reduction in alert response time. Approved product captures and detailed measurement context are not yet available.
From alert overload to action.
I designed the navigation and alerting model for an industrial IoT platform. Operators needed to monitor hundreds of signals, recognize critical events, and move into diagnostics across desktop and mobile.
Outcome reported in the existing portfolio.
The design problem
Balance information density with a clear order of attention. Field engineers also needed a path from the alert into mobile-friendly diagnostics.
The monitoring experience
Public product screenshots published by Solar Turbines on Google Play. These illustrate InSight Platform; their version and relationship to my 2018–2019 designs have not been verified.
Fleet health
Reliability, availability, advisories, and service activity in one dashboard.
Operating trends
Equipment parameters and time-series views support investigation.
Service messages
A chronological stream of equipment events and updates.
Critical alerts
Alert details and severity provide context for the next action.