Sophie Majecki
Work
Work
Work
UX Designer
Currently working at Ipsen and previously at Orange, XDLab Studio, I have collaborated with incredibly talented people across different companies and countries.
Driving clarity in complex B2B systems
— Orange France
Year: 2017
Role: UX/UI Designer
Team: XDLab Orange B2B Design Team
Scope: User research, ideation workshops, journey mapping, prototyping, and initial designs
Introduction
I designed an interactive map to improve consistency and decision-making across the Orange France B2B services portfolio. The tool provided employees with a holistic view of all services, interactions, and functional areas, helping identify overlaps, optimise positioning, and uncover opportunities for new services.
​
The challenge was to simplify a complex ecosystem, making it flexible, easy to navigate, and adaptable for future updates. I collaborated closely with the XDLab B2B design team, service designers, engineers, and specialists, running workshops to prioritise data, define structure, and ensure clarity across the portfolio.
Framing
The data I needed to represent was structured into three main service categories:
​
-
Activité Pro (Professional Activities)
-
Relation Orange (Orange Customer Services)
-
Activité Perso (Personal Activities)
​
Within these categories, there were 20 functionality groups, and beneath them, a total of 139 sub-functionalities. The requirement was for all of this information to be clearly visible within the map.
​
The complexity increased because each of the 139 sub-functionalities had to be linked to specific services and filters. Overall, the ecosystem included 49 services, 5 filter categories, and 14 individual filters. Each sub-functionality had its own “DNA,” making the relationships intricate and highly interdependent.
​
Every piece of data had a unique identity and associated information. Another challenge was the sheer number of possible combinations between services and filters. My task was to find creative, intuitive solutions to make all of this clear, understandable, and easy to navigate.
I started making research on complex structures, I did a mood board looking at complex shapes, from bacteria to Yayoi Kusama artworks to create a concept.
Exploration
Analysing
After all this research, I started to work around the way I could display those data and keeping in mind the essential characteristics of an ecosystem, I started to define 3 concepts.
1# Hierarchy-Based – Order / Structure
A set of elements linked together, where relationships are defined by their position in the group. Each element’s status makes sense within a structure of information subordination. Reading flows in an increasing, linear order (order of magnitude).
-
Advantages: strong cohesion, easy to modify, supports correlation and categorisation, scalable.
-
Disadvantages: dependent on hierarchy, limited analytical depth, focuses only on hierarchical representation.
2# Hierarchy+Link-based – Structure / Role
A set of personalised elements linked together, where each element’s identity defines its environment. Their unique structure highlights both position in space and individual characteristics. This approach enriches the data with a hybrid reading that combines multiple layers and perspectives.
-
Advantages: transparent information, strong cohesion, easy to modify, supports assigned roles, hybrid representation, and scalable.
-
Disadvantages: dependent on hierarchy, limited analytical depth, emphasises role over deeper relational analysis.
3# Link based - Communication / Network
A limited set of interconnected elements whose exchanges define their environment. Their relationships are interdependent, forming a network where meaning comes from the connections and interactions rather than hierarchy. This structure supports an analytical reading, offering multiple interpretations of each element within the system.
​
-
Advantages: highlights relationships, supports combinations, shows interdependence, enables analytical perspectives.
-
Disadvantages: harder to modify, weak hierarchical cohesion, limited visibility at scale, constrained in representing detailed information.
After establishing these three concepts, I started to think about how it could take form with the data I had, to build a first version of the ecosystem. I used the last concept listed and designed 4 solutions in total.
Prototype
Prototype 1
Prototype 2
Prototype 3 (Agreed on)
To summarise
Although this project was never implemented into development, it highlights the depth and quality of my design research at the time.
As a Product Designer, I explored how complex datasets could be structured and visualised in meaningful ways. The moodboards, conceptual frameworks, and hierarchy models I created remain strong examples of my ability to translate abstract challenges into clear visual directions. This work demonstrates an early foundation in handling complexity, building systems thinking, and experimenting with creative approaches to data representation—skills I’ve continued to refine throughout my career.