Clarifying workflows and data organization in a complex industrial tool

Business software is used in industrial settings to manage data, perform technical processes, and streamline complex workflows.
The project aimed to improve the user experience, navigation, and data organization, while maintaining the advanced features required by expert users.

ROLE
UX/UI Designer - UX Researcher
client
TotalEnergies
year
2025-2026
Collaboration
Expert users, Development Lead

Key Results

  • Consistent data organization across teams
  • Clarified information hierarchy
  • Smoother and more intuitive workflows
  • Positive feedback on the direction from key users

Context

An industrial software built around complex data and workflows

The software is used in a technical and industrial environment that requires the management of large amounts of data and specialized processing.

The product was primarily used by experienced users who had developed their own habits and conventions over time.

The goal of the project was not to simplify the tool, but to make user flows more understandable, more consistent, and easier to maintain across teams.

problem

Gradually learning about the product's user journeys and constraints

Users had difficulty:

  • understanding how projects were organized,
  • tracking work in progress,
  • quickly finding important data,
  • and taking over projects from other teams.

Over time, experienced users had developed their own standards and methods to work around certain limitations of the product.


This led to:

  • inconsistent project structures,
  • heavy reliance on searching by name,
  • workflows that were difficult to follow,
  • complex navigation,
  • and a more difficult learning curve for new users.

Identified problems

Data stored in a “flat” structure
Difficulty navigating projects
Low visual clarity of the hierarchy
Highly dense screens
Complex workflows that are hard to follow
Multiple conventions across teams
Search by name used as the primary approach
I think that when you take over someone else’s project, it’s impossible to know what’s already been done. Impossible.
If we can set up these little workflows, we save time.
Duplicating data… I think it’s completely pointless

Discovery

Explore the product and existing workflows

Before beginning user research, a discovery phase was conducted to understand how the product works, the existing workflows, and the key business constraints.

The Product

  • Product presentation by stakeholders
  • Analysis of the product’s main areas
  • Understanding business constraints

Workflows

  • Demonstrations by expert users
  • Observation of existing workflows
  • Analysis of usage patterns

Early observations

Complex data organization
Fragmented navigation
Difficulty in reviewing workflows across teams
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User Research & UX Analysis

Understanding data organization and workflows

The research aimed to understand how users:

  • organized their data,
  • navigated workflows,
  • located important information,
  • and worked around some of the product’s limitations.

The goal was also to identify:

  • the basic needs of expert users,
  • constraints related to technical workflows,
  • and the limits of simplification possible in this type of business environment.

Research, Analysis, and Collaboration

User Research
  • 7 qualitative interviews
  • Observation of user journeys
  • Analysis of recurring issues
  • Summary of user feedback
Analysis
  • UX Audit
  • Competitive Analysis
  • Identification of recurring issues
  • Prioritization of UX issues
Collaboration
  • Workshops with stakeholders and key users
  • Collaborative work on data organization and workflows
  • Regular reviews of UX proposals

Use of AI

Generative AI tools were used to accelerate certain stages of:

  • interview preparation,
  • summary of user feedback,
  • and UX exploration.

UX decisions continued to be based on:

  • user feedback,
  • observation of real-world user journeys,
  • business requirements,
  • and the product’s technical constraints.

UX & Product Prioritization

The issues identified during user research and the UX audit were prioritized based on their impact on users and the effort required to implement them.


This step made it possible to:

  • align UX priorities with product and technical constraints,
  • identify the most critical improvements,
  • and structure future product updates in a phased manner.

Key insights

Users needed a more consistent data structure and clearer workflows
Users were finding ways around the tool because the data structure and tracking features were not clear enough.
Users were creating their own methods for locating and organizing important information.
Users wasted time tracking and understanding their processes.
The workflows were difficult to review and understand as a whole.
Users had to mentally reconstruct their workflows.
The different steps in the workflows were not always clearly visible or linked together.
Important information was dense and spread out.
Navigation, workflows, and technical details were often mixed together in the same spaces.

Workshop

Defining a common structure for data and user journeys

A workshop was conducted with stakeholders (experienced users and the development manager) to collectively brainstorm a clearer and more consistent structure for projects within the software.

Goals

  • align usage practices,
  • reduce inconsistencies between teams,
  • clarify user flows,
  • and define more understandable organizational principles.

Outcomes

  • a new data structure,
  • common usage conventions,
  • shared organizational rules,
  • and several proposed features to improve navigation and project understanding.
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Design

Structuring information to clarify the user experience

The goal was not to reduce the density of information, but to better structure user flows and improve the product’s overall readability.

Structuring a more comprehensive workflow experience

Problem

The workflow feature was under development, and several ideas had already been explored regarding templates, workflow execution, and tracking. However, the user experience remained very limited: basic interfaces, restricted interactions, and workflows that were difficult to understand as a whole.

UX Decision

The redesign focused on structuring a more comprehensive and consistent experience around:

  • the creation and editing of templates,
  • and the launch and tracking of executed workflows.

User flows were defined to clarify interactions and connect the module’s various steps.
Particular attention was also given to:

  • the clarity of the steps,
  • the management of parallel workflows,
  • and clarifying the execution context.

xpected Result

Create a clearer and more consistent experience around workflows while still providing the advanced features needed by expert users.

Easy access to important items

Problem

Users were wasting time trying to find certain frequently used data or tools.

UX Decision

Simple “Pinned Data” and “Favorite Tools” features were introduced to speed up access to important elements of the workflow.

Expected Result

Reduce repetitive tasks and facilitate quick access to the most frequently used items.

Improving interface consistency

Problem

Behaviors and screen layouts were sometimes inconsistent across the product’s different areas.

UX Decision

UI guidelines were defined to harmonize:

  • components,
  • behaviors,
  • typographic hierarchy,
  • and layout structures.

Expected Result

Create a more consistent, more readable interface that is easier to scale over time.

Constraints & Trade-offs

Designing in a complex technical environment

The project had to integrate with:

  • an existing application,
  • complex technical user flows,
  • and strong development constraints.

Some UX decisions were therefore guided by:

  • preserving expert workflows,
  • maintaining a high level of user control,
  • time and budget constraints,
  • and avoiding overly extensive technical redevelopment.

Example of a UX Trade-off

A simple representation of workflows was chosen over a “graph editor”-style system, which would have been more complex to develop, maintain, and integrate into the existing system.


The goal was to find a balance between:

  • readability,
  • user efficiency,
  • and technical feasibility.

Lessons Learned

What this project tTaught me

This project taught me that improving a complex business tool is not about reducing the density of information, but rather about:

  • better structuring user flows,
  • clarifying levels of information,
  • and keeping certain features for expert users.

It also reinforced the importance of:

  • observing actual usage patterns before simplifying an interface,
  • collaborating closely with expert users and technical teams,
  • and designing solutions tailored to the real constraints of the existing product.

Conclusion

Project outcomes

The project resulted in:

  • clarifying the main issues related to data organization and workflows,
  • proposing a more consistent structure across teams,
  • formalizing UX/UI recommendations,
  • and defining a common foundation for future product developments.

Deliverables included:

  • summaries of the research and user interviews,
  • user journeys,
  • UX recommendations,
  • interface concepts,
  • and UI guidelines.

The final mockups were presented to stakeholders and several key users during a debriefing session.

Feedback was particularly positive regarding:

  • the readability of the screens,
  • the organization of data,
  • the relevance of certain proposed features,
  • and the clearer separation of information levels.

The client then remained responsible for prioritizing and developing the proposals that had been created.