Siemens Gamesa
As a UX/UI Designer at Siemens Gamesa, I developed innovative app concepts for wind farm management, leading user testing, QA validation, and the creation of a cohesive design system across the company’s digital ecosystem.
I collaborated closely with technicians, engineers, and specialists to ensure the apps translated complex operational data into intuitive, actionable experiences.
Role:
UX/UI – Product Designer
Tools:
Figma · Adobe Tools · Miro
Date:
2020 – 2022
Overview
Siemens Gamesa — Vibration Diagnostics App
Siemens Gamesa needed a digital solution to help its internal teams monitor and diagnose vibration anomalies in wind turbines across multiple sites.
The goal was to centralize scattered data sources, simplify complex analysis workflows, and give both office-based analysts and field technicians faster access to actionable insights.
The problem
Before the new app, vibration diagnostics were carried out through multiple disconnected systems and manual data exports.
Technicians often had to switch between different tools, spreadsheets, and reports, understanding the condition of each turbine.
This process created several issues:
Inefficiency: Detecting and confirming an anomaly could take several hours or even days.
Inconsistency: Each team used slightly different reporting methods, leading to errors and data loss.
Lack of visibility: There was no unified overview showing turbine status or component health at a glance.
As a result, incident reporting was slow, collaboration between engineers and field technicians was fragmented, and valuable time was lost in diagnosing root causes.
Research & Discovery
The project began with a comprehensive research phase to understand how vibration diagnostics were performed across Siemens Gamesa’s wind farms and to uncover the key pain points for different user roles.
Methods:
Workshops – Collaborated with technicians, analysts, and engineers to map workflows and brainstorm solutions.
Interviews – Gathered insights from different roles to understand needs, frustrations, and expectations.
Field Observations – Shadowed technicians on-site to see how they collected data and reported issues.
Stakeholder Sessions – Aligned with product owners and engineers to consider technical constraints and business goals.
User Persona
Wireframe description
Design a site overview screen that appears when a user selects a site from the fleet overview. The screen provides the site lead or interested stakeholders with a clear, comprehensive view of site operations, making it easy to monitor status at a glance. It should include:
- Map and tabular views of turbines and components.
- Key statistics/KPIs, such as the list of issues, number of historic faults, and other relevant metrics.
The goal is to make it convenient, actionable, and informative, helping users stay on top of site performance.
Design
Based on our research insights, we designed a centralized dashboard for both desktop and mobile, making complex vibration data intuitive and actionable for field technicians and office analysts.
The app is structured into four main tabs, each supporting different workflows:
Site Overview – The primary dashboard featuring three key widgets:
- Site Turbines: Visual overview of all turbines on the site with operational status indicators.
- List of Issues: Prioritized alerts and ongoing incidents for quick action.
- Component Status: Detailed health metrics for each turbine component.
This tab gives site leads and technicians a comprehensive, at-a-glance understanding of site operations.
Turbine Overview – Provides detailed information per turbine, including vibration metrics, performance data, and historical trends. This view helps technicians investigate specific turbines and identify potential failures quickly.
Component View – Focuses on individual components, showing their health, vibration behavior, and maintenance history. This enables precise diagnostics and targeted preventive actions.
Compare View – Added in a later phase, this tab allows users to compare turbines or components side by side, highlighting differences and trends over time. This feature supports data-driven decision-making and deeper analysis for maintenance planning.
Wireframes were iteratively tested with technicians and analysts, refining layout, visual hierarchy, labelling, and alert presentation. The tab-based design allows users to transition smoothly from high-level overviews to granular details, speeding up diagnosis, reporting, and proactive maintenance.
Entry point
Site Overview
Turbine overview
Outcome & Impact
After rolling out the first version of the app, Siemens Gamesa’s internal teams reported significant improvements in efficiency and accuracy:
Incident reporting time reduced by over 60%.
Faster diagnosis: Technicians could now detect vibration anomalies directly on site, without waiting for lab analysis.
Improved collaboration: Mobile access allowed technicians to update and report issues immediately, syncing with analysts in real time.
Better situational awareness: The dashboard provided a unified view of turbine health across entire sites.
In short, the app empowered field technicians to act faster, make better decisions, and maintain turbines more proactively — saving time and reducing downtime across wind farms.
Conclusions
This project demonstrated how UX research and collaboration with domain experts can transform a deeply technical process into an intuitive experience.
By co-creating with technicians and vibration specialists, we bridged the gap between data complexity and human understanding, turning vibration diagnostics into a powerful, accessible tool for Siemens Gamesa’s operations.