Revamping Solar Turbines Navigation
Role
Product Designer
Product Designer
Team
4 Designers, 3 engineering teams, 2 PMs
4 Designers, 3 engineering teams, 2 PMs
Timeline
1 year
🧗🏻♂️ The challenge we faced
We tackled the challenge of revamping the outdated and inconsistent monitoring page within Solar Turbines' Insight, the software that monitors turbine performance.
The navigation needed to seamlessly support datamonitoring for over 2,000+ industrial sites, ensuring reliability in performance tracking while being scalable for future analytics features and third-party system connections.
This overhaul required a complete redesign, optimizing the user experience for engineers and operators who rely on real-time turbine insights.
The navigation needed to seamlessly support datamonitoring for over 2,000+ industrial sites, ensuring reliability in performance tracking while being scalable for future analytics features and third-party system connections.
This overhaul required a complete redesign, optimizing the user experience for engineers and operators who rely on real-time turbine insights.
🧩 What are we trying to solve?
I worked alongside Senior researchers to conduct moderated testing and see how they build out their prompts.
I learned how to conduct un-bias tests and utilize eye tracking.
After this, we did several whiteboarding sessions all together to bucket the fleet manager's needs and ensure they could easily find what they needed if they had to address any issues with their turbines.
After this, we did several whiteboarding sessions all together to bucket the fleet manager's needs and ensure they could easily find what they needed if they had to address any issues with their turbines.
🎨 Design Approach
Define
I worked alongside Senior researched to conduct moderated testing and see how they built out their prompts.
I learned how to conduct un-bias tests and utilize eye tracking. After this, we did several whiteboarding sessions all together to bucket the fleet manager's needs and ensure they could easily find what they needed if they had to address any issues with their turbines.
Using user personas, we dove deep into who we are defining for and what their unique needs were.
I learned how to conduct un-bias tests and utilize eye tracking. After this, we did several whiteboarding sessions all together to bucket the fleet manager's needs and ensure they could easily find what they needed if they had to address any issues with their turbines.
Using user personas, we dove deep into who we are defining for and what their unique needs were.
Iterate
We pursued multiple iterative concepts for navigation based on what we heard and learned what the dashboard needed to contain when a fleet manager first landed on the UI.
We also needed to ensure responsiveness as most fleet managers use either their tablets or their phones.
We also needed to ensure responsiveness as most fleet managers use either their tablets or their phones.
🪟 Solution
Clear data visualization
After multiple iterative versions and a re-assessment of user tests, we utilized a data visualization dashboard that gave the fleet manager clear visibility into their fleet right off the bat. This helped managers see exactly how they were performing instantly.
Alerting
We moved forward with a clear alerts section where fleet managers could see all current and previous alerts they'd received. We made sure they landed on this screen if there was an active alert as well.
🧠 What we learned
Visuals aid in digesting info
Providing numerous visuals for fleet managers to view their fleet performance aided in quicker digestion of the information. Enabling a map view of turbines also helped give the managers a deeper understanding of their fleet and a quicker way to view all turbines in operation.
Information Architecture is crucial
Sorting and bucketing categories for information helped us streamline navigation. It wound up leaving us with this incredible statistic!
% decrease in system downtime
0