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PRODUCTION-LINE
Global Automotive OEM B2B - CONFIDENTIALEN | DE
Scope Digital Transformation / Area Manufacturing IT / Team +15 Agile Squad / Time 6 Months / Role Lead Product Designer
Transforming Legacy Complexity into a Global Innovation Standard.
Global Benchmark
50,000
USERS
Validated as the definitive long-term blueprint
for the OEM’s digital transformation.
MANAGEMENT SUMMARY
CHALLENGES
01
Logic Maze
Context
The old system forced technicians to think like engineers, navigating a confusing multiple layer tree structure.
Problem
Users had to abandon their intuitive mental maps to decode a rigid, illogical maze just to find a simple part.
02
Communication Barrier
Context
Technicians stood in front of the car and saw a defect, but the system didn't allow them to express it.
Problem
Legacy system forced them to describe visual problems using only abstract text buttons. This created a massive gap between what they saw and what they reported.
03
Digital Dead-End
Context
Decades of unstructured data and fragmented documentation made global scaling impossible.
Problem
Without a unified standard, the system was a digital dead-end, incapable of supporting further diagnostics.
"Championed by Group Digital Leadership as the definitive benchmark for the organisation's future transformation strategy."
-- Group Digital Strategy Leadership
STRATEGY
01
Intuitive Logic Tree
Structured the logic according to how users perceive the vehicles without a complex engineering code.
Eliminated mental translation, allowing instant recognition of vehicle parts.
02
Anatomical Model
Replaced the illogical deep-drilling tree with a visual layering model inspired by human anatomy.
The logic allows users to peel back layers;
Exterior(Skin) → Powertrain(Muscle) → Chassis(Bones) → Interior(Organs)→ Electric(Nerves),
mirroring the physical inspection.
This reduces the defect marking to seconds.
03
De-Risk Migration Strategy
Avoided the risk of a Big Bang launch by designing a pragmatic transition plan through MVPs.
Introduced high-value features incrementally (e.g., Semantic Search), building trust and value while gradually retiring the old system.
04
Standardised Data Normalisation
Created a structured input system that turns subjective descriptions into clean, machine-readable data.
This lays the foundation for Predictive Maintenance and further analysis.
LEGACY LOGIC MAZE
Abstract layer list that forced technicians to think like engineers,
which made it impossible to report visual reality.
NEW SPATIAL MODEL
Visual layering system (Skin, Bones, Nerves) mirroring the physical car.
Users peel back layers to pinpoint defects instantly.
OUTCOMES
Strategic Consensus & Validation
The concept was officially adopted as the global flagship for manufacturing UX.
It reconcile business efficiency with human cognition for 50,000 users.
Minimum Learning Latency
"Finally, a tool that thinks like we do."
By aligning the digital system with the users' pre-existing mental models, we eliminated the need for training and the users adopted it immediately.
Immediate MVP Impact
Moved beyond just vision to immediate action.
Successfully launched the first high-value MVP modules, proving technical feasibility and delivering instant value to the shop floor while the long-term roadmap evolves.
CONFIDENTIALITY PROTOCOL
In compliance with strict Non-Disclosure Agreements (NDA), all proprietary visual artifacts, interface details, and client identifiers have been removed or redacted. The metrics and methodologies presented herein focus exclusively on architectural strategy and verified business impact.
EXPLORE FURTHER
Medical Interface
B2B - CONCEPTHigh-Fidelity
B2B - CONCEPT
High-Fidelity
Data Visualisation
Visual craft & UI Execution
-- My visual craft and capability to simplify complex data.
Automotive OEM Intelligent Logistics & Quality Grid
B2B - CONFIDENTIAL+€60M
B2B - CONFIDENTIAL
+€60M
Efficiency Gained
Immediate Impact & Engineering Scale
-- Vision is powerful, but execution is vital. See how I delivered operational efficiency for the same OEM environment.
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