arrow_back Back to My Works

Portfolio / Case Studies / GE Vernova

Interactive Process
Flow Design

Transforming complex, static wind turbine manufacturing SOPs into an interactive, role-based digital learning and decision-support experience.

Client
GE Vernova
Role
Product Designer
Project Type
Enterprise Digital Product
Platform
Responsive Web App
Enterprise Manufacturing Knowledge Platform
DIGITAL SOP SYSTEM

Digitally mapping complex sequential activities

Unifying operators, quality engineers, and laboratories into a single high-performance interactive timeline.

Role-Based Mapping
SOP Integrations
Visual Quality Gates

01 — Project Overview

Manufacturing at
Unprecedented Scale

GE Vernova manufactures highly engineered wind turbine components through complex, multi-stage industrial processes involving quality checks, specialized equipment, and multiple operational teams.

One of these workflows—the Unibody Coating Process—contains numerous sequential activities distributed across operators, coating specialists, process quality engineers, laboratory teams, and digital monitoring systems. While the manufacturing process itself is standardized, the supporting documentation was largely static. This made it difficult for employees to quickly understand task ownership, process dependencies, quality checkpoints, and phase transitions.

"The objective of this project was to redesign this documentation as an interactive digital manufacturing experience, allowing users to explore each stage of the coating workflow through contextual information panels, stakeholder mapping, and visual explanations."

02 — Business Context

The Problem with
Static Standardization

Modern manufacturing organizations operate through highly standardized procedures that ensure consistency, safety, and quality. However, these procedures often exist as lengthy documentation, manuals, spreadsheets, or static process diagrams. Although technically comprehensive, these formats present severe usability challenges.

The Unibody Coating Process consists of three interconnected manufacturing stages:

Pre-Coating Phase
Preparation, surface conditioning, validation, inspections, and environmental setups.
Coating Phase
Application of multiple specialized coating layers under strict environmental controls.
Post-Coating Phase
Testing, thickness verification, defect recording, curing heat treatment, and approvals.

03 — Problem Statement

Information Silos &
Hidden Dependencies

Although the manufacturing process itself was well documented, the information was difficult to consume because it was presented in static formats that prioritized documentation over usability. Employees frequently struggled to understand:

Fragmented Ownership

Who owns what?

Difficulty tracking which stakeholder group owns which specific manufacturing task.

Hidden Dependencies

What comes first?

Prerequisites and dependencies before progressing to secondary coating layers were unclear.

Document Hopping

Where is the info?

Operators and engineers had to navigate separate SOPs, engineering manuals, and quality checklists.

04 — Business Objectives

Primary Goals for
Digital Transformation

Simplify Manufacturing Knowledge
Convert detailed engineering documentation into a structured visual workflow understood quickly by teams.
Improve Process Visibility
Provide a complete end-to-end view of the manufacturing lifecycle while preserving engineering accuracy.
Support Collaboration
Clearly communicate task responsibilities and handoffs across all manufacturing stakeholders.
Reduce Learning Curve
Enable new operators and engineers to grasp complex procedures without relying on traditional raw text documents.

05 — Interactive Workflow

Unibody Coating
Process Flow

Select a stakeholder in the left legend to filter responsibilities, or click any step card to expand SOP detail instructions.

Pre-Coating Phase
Operator
1. Receive Unibody
Structure receipt and weld integrity inspection.
Operator
2. First Grit Blasting
Establish surface roughness anchor pattern.
Quality Eng
3. First Profilometer
Verify substrate surface roughness Ra/Rz.
Coating Cell
4. Stellite Coating
Apply Stellite hardfacing wear barrier.
Coating Phase
Coating Cell
9. Bond Coating
Spray metallic anchor coat interface.
Coating Cell
10. AG1 Coating
Apply secondary ceramic butter stress layer.
Digital Sys
12. Temp Monitoring
Continuously log cure temperatures.
Post-Coating Phase
Quality Eng
14. Eddy Current Test
Measure ceramic coating thickness.
Operator
16. Heat Treatment
Bake assembly at 250°C to cure ceramic.
MetLab
17. Microscopic Eval
Evaluate samples for density/porosity.
Quality Eng
19. Final Approval
Electronically sign off run release.
Role

Step Title

Step Description

Detailed step description...

Required Equipment
  • Equipment item
Safety Guidelines

Safety guidelines...

Standard Operating Procedure
SOP-XXXX Open PDF
Instructional Walkthrough

06 — Responsibilities

My Design Responsibilities

As the Product Designer, I was responsible for translating a technically dense manufacturing process into a user-centered digital experience:

UX Research
Info Architecture
Interaction Design
Prototyping

"Rather than redesigning the manufacturing process itself, my focus was on redesigning how users understand and interact with the process."

07 — Target Users

Primary Stakeholders

We identified five core stakeholder groups involved throughout the coating workflow:

Operator
Executes physical grit blasting, thermocouple setup, and heat treatment. Needs clear task sequences and safety guidelines.
Coating Cell
Applies specialized coating layers (Stellite, Bond, AG1, AG4). Needs thickness specs and layer dependencies.
Process Quality Engineer
Responsible for inspections, roughness verification, defect logs, and final approvals. Needs test criteria and standards.
MetLab
Responsible for microscopic evaluations and lab verification tests. Needs evaluation standards and logs reporting templates.

08 — Success Metrics

Measuring UX Success

The redesign was considered successful if users could achieve the following metrics:

Identify process ownership quickly
Locate specific steps efficiently
Understand dependencies between steps
Reduce new personnel onboarding time

09 — Discovery Goals

Research & Discovery

Before redesigning the experience, I analyzed how manufacturing process documentation was structured and consumed by different stakeholders. Discovery goals focused on understanding:

  • How different teams navigate static process documentation.
  • Where users lose context during complex procedures.
  • How manufacturing information can be layered without overwhelming users.
  • Which content should be immediately visible versus progressively revealed.

10 — Research Insights

Key Research Findings

Five recurring usability issues became apparent in the discovery phase:

1. Information Was Linear
Static manuals forced sequential reading, but troubleshooting users seek specific questions (e.g. "What if this test fails?").
2. Context Was Hidden
Supporting guidelines (SOPs, tools) existed outside the flowchart, forcing users to constantly hop between manuals.
3. Hard to Track Ownership
Responsibilities were unclear, forcing collaboration to rely on institutional memory rather than UI design.
4. Equal Visual Weight
Critical inspections like profilometer roughness measurements looked identical to routine prep steps, hiding quality gates.
5. Documentation Was Static
Flowcharts communicated raw structure but failed to show depth, preventing integration of videos or photos.

11 — Opportunity

The Opportunity Statement

"How might we transform a complex manufacturing workflow into an interactive knowledge experience that helps engineers, operators, and quality teams understand manufacturing procedures faster while creating a scalable foundation for future digital learning?"

12 — Design Strategy

Three Core UX Principles

1. Progressive Disclosure

Level 1 (Process Flow) → Level 2 (Step Overview) → Level 3 (Detailed Info) → Level 4 (SOPs) → Level 5 (Videos). Keeps layout approachable.

2. Visual Chunking

Divided the workflow into three natural cognitive boundary containers: Pre-Coating, Coating, and Post-Coating phases.

3. Role-Based Understanding

Surfaces responsible stakeholder group badges on every card, answering the user's question: "What am I responsible for?"

13 — Product Ecosystem

Information Architecture

The platform is built on a structured hierarchy from entry points to deep assets:

Manufacturing Process Operational Phase Manufacturing Step Stakeholder Detailed Info SOPs & Videos

14 — Design Decisions

Key Design Decisions

Card-Based Steps

Individual cards improve visual scan rates and support modular extensions for new line processes.

Phase Containers

Dedicated sections visually group steps, reinforcing sequential manufacturing progression.

Stakeholder Badges

Clear, color-coded badges on every card communicate task ownership immediately.

Context Panels

Drawer overlays prevent context-switching, keeping operators oriented within the main flow.

15 — Design Challenges

Challenges Overcome

Precision vs. Simplicity

Prevented information overload while preserving the critical engineering accuracy required in aerospace/wind manufacturing.

Multiple Persona Support

Served both experienced engineers needing fast reference and new operators requiring guided SOP training.

16 — Solution

The Final Solution

The resulting platform transforms traditional static engineering flowcharts into a centralized gateway to manufacturing knowledge. Users can map responsibilities, explore stages, view quality parameters, and access contextual video tutorials on the factory floor, significantly reducing dependency on static paper documentation.

17 — Business Impact

Measured Impact

0%
Onboarding Acceleration
New hires grasp multi-stage SOPs faster via visual learning.
0%
Search Reduction
Eliminated multiple document switching loops.
0%
Ownership Clarity
Eliminated ambiguity regarding task handoffs.

18 — Future Roadmap

Future Roadmap

The platform is designed for long-term expansion:

3D Component Models
Interactive CAD models of turbine parts embedded directly in steps panels.
AR Work Instructions
Smart glasses instructions overlays connected directly with the digital database.
Live IoT telemetry
Live temperature and pressure monitoring feeds displayed directly inside curing cards.
Digital Twin Integration
Mapping process steps directly with the plant simulation layers.

19 — Reflections & Summary

Key Learnings

Working on the GE Vernova Interactive Process Flow reinforced that enterprise UX is not merely about designing software, but about designing how knowledge is discovered, understood, and applied. Manufacturing documentation should not just list raw tasks; it must support decision-making, quality checks, and cross-functional team collaboration.

Industrial SOP Mapping Enterprise UX Interaction Design Role-Based Logic Progressive Disclosure Information Architecture Stakeholder Workshops B2B Product Strategy
Next Case Study
Barry Callebaut Digital Twin →
← Return to All Works