From Data to Decisions

From Data to Decisions

FleetSync

FleetSync

My role

My role

Product designer

Product designer

The team

The team

PM, SA and UI Designer

PM, SA and UI Designer

Duration

Duration

10 month

10 month

Main project image
Main project image

Company & Product Context

FleetSync builds operational software for transportation providers managing large commercial fleets across Europe. The platform helps operations teams monitor vehicle location, trip progress, driver activity, and operational exceptions through a centralized web application. As FleetSync scaled to support larger customers, the product evolved toward replacing fragmented internal tools with a single, unified operational system. The Operations Dashboard became the primary interface used daily by dispatchers to coordinate vehicles and communicate with drivers in real time.

My contribution

I worked as the product designer across strategy, discovery, design, and validation. My role focused on understanding dispatcher workflows, aligning stakeholders on priorities, and translating complex operational needs into a scalable interface. I collaborated closely with product management, engineering, and customer support to ensure solutions were feasible, usable, and aligned with business goals.

Company & Product Context

FleetSync builds operational software for transportation providers managing large commercial fleets across Europe. The platform helps operations teams monitor vehicle location, trip progress, driver activity, and operational exceptions through a centralized web application. As FleetSync scaled to support larger customers, the product evolved toward replacing fragmented internal tools with a single, unified operational system. The Operations Dashboard became the primary interface used daily by dispatchers to coordinate vehicles and communicate with drivers in real time.

My contribution

I worked as the product designer across strategy, discovery, design, and validation. My role focused on understanding dispatcher workflows, aligning stakeholders on priorities, and translating complex operational needs into a scalable interface. I collaborated closely with product management, engineering, and customer support to ensure solutions were feasible, usable, and aligned with business goals.

The problem

As FleetSync onboarded larger fleets, the Operations Dashboard struggled to support increasing operational complexity. Dispatchers needed to monitor more vehicles, react to more exceptions, and coordinate more drivers, all while switching between multiple screens and external tools. Critical information was fragmented across tabs, making it difficult to maintain situational awareness during peak hours.

Core issue

Dispatchers lacked a clear, real-time overview of fleet status. Important signals such as delays, inactive vehicles, or urgent messages were buried behind interactions, forcing users to rely on memory, manual checks, or external tools.

Business issue

If dispatchers could not confidently manage daily operations using FleetSync, customers would continue relying on legacy systems and tools.

The problem

As FleetSync onboarded larger fleets, the Operations Dashboard struggled to support increasing operational complexity. Dispatchers needed to monitor more vehicles, react to more exceptions, and coordinate more drivers, all while switching between multiple screens and external tools. Critical information was fragmented across tabs, making it difficult to maintain situational awareness during peak hours.

Core issue

Dispatchers lacked a clear, real-time overview of fleet status. Important signals such as delays, inactive vehicles, or urgent messages were buried behind interactions, forcing users to rely on memory, manual checks, or external tools.

Business issue

If dispatchers could not confidently manage daily operations using FleetSync, customers would continue relying on legacy systems and tools.

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Discovery

To ground decisions in real behavior, I ran a discovery phase combining qualitative and quantitative insights from both customers and internal teams. The goal was to understand how dispatchers actually work during a typical day, especially under pressure.

Discovery

To ground decisions in real behavior, I ran a discovery phase combining qualitative and quantitative insights from both customers and internal teams. The goal was to understand how dispatchers actually work during a typical day, especially under pressure.

Research methods

Customer interview

We conducted 12 interviews with dispatchers and operations managers working across different fleet sizes.

Workshops

Two cross-functional workshops to align product, design, and operations on key problems.

Survey

A short survey to validate which data points must be visible.

Quantitative data

Analysis of usage patterns from active customers to identify friction points.

User test

Tested several version with 12 customers in total.

Research methods

Customer interview

We conducted 12 interviews with dispatchers and operations managers working across different fleet sizes.

Workshops

Two cross-functional workshops to align product, design, and operations on key problems.

Survey

A short survey to validate which data points must be visible.

Quantitative data

Analysis of usage patterns from active customers to identify friction points.

User test

Tested several version with 12 customers in total.

Findings

Findings

Interviews focused on daily routines, edge cases, and moments where the current system slowed them down.

Interviews focused on daily routines, edge cases, and moments where the current system slowed them down.

Needs

Clear operational data before visual context

Dispatchers rely primarily on structured data (status, timestamps) to make decisions quickly.

Flexible overview depending on experience level

Senior users prefer dense information, while newer users need clearer guidance and prioritization.

Flexible overview depending on experience level

Senior users prefer dense information, while newer users need clearer guidance and prioritization.

Pain points

Fragmented communication

Messages from drivers, alerts, and system updates lived in separate areas, forcing users to constantly switch views.

Lack of prioritization

Not all events require the same urgency, but the system treated them equally.

Needs

Clear operational data before visual context

Dispatchers rely primarily on structured data (status, timestamps) to make decisions quickly.

Flexible overview depending on experience level

Senior users prefer dense information, while newer users need clearer guidance and prioritization.

Flexible overview depending on experience level

Senior users prefer dense information, while newer users need clearer guidance and prioritization.

Pain points

Fragmented communication

Messages from drivers, alerts, and system updates lived in separate areas, forcing users to constantly switch views.

Lack of prioritization

Not all events require the same urgency, but the system treated them equally.

Workshops: Vision alignment

Workshops: Vision alignment

3 cross-functional workshops to align problem understanding (Product Designers x4, PM, Tech Lead, Operations) We ran a series of collaborative workshops to align on what "real-time operations" actually mean for fleet managers. Instead of defining Live as speed alone, teams agreed that Live should support fast investigation, context switching, and decision confidence. This helped frame real-time data as a starting point for action, not just monitoring.

3 cross-functional workshops to align problem understanding (Product Designers x4, PM, Tech Lead, Operations) We ran a series of collaborative workshops to align on what "real-time operations" actually mean for fleet managers. Instead of defining Live as speed alone, teams agreed that Live should support fast investigation, context switching, and decision confidence. This helped frame real-time data as a starting point for action, not just monitoring.

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Define, Valitation, iterate

Wireframing and testing

We started with low-fidelity wireframes to explore multiple layout directions quickly. Each iteration was reviewed with internal stakeholders before being tested with customers. Feedback was incorporated continuously, allowing us to converge on a solution that balanced operational speed, clarity, and scalability.

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Feedback from customers

Ongoing feedback sessions with dispatchers and operations managers helped us validate early assumptions and refine priorities. Customers emphasized the need for clarity over density, and consistency over flexibility. These sessions guided multiple iterations of the concept before moving into validation.

Positive feedbacks

Usage

Most participants reported faster task completion when using the new layout. Reduced navigation steps and clearer information hierarchy helped dispatchers react more quickly during peak operational hours.

Easy to use

Customers perceived the solution as a clear improvement compared to their existing tools. The interface felt more predictable and required less explanation, especially for new team members.

History

Users confirmed that historical data is mainly used for investigations. As a result, it was deprioritized in the primary view and moved to a secondary layer, reducing visual noise in daily operations.

Feedback from customers

Ongoing feedback sessions with dispatchers and operations managers helped us validate early assumptions and refine priorities. Customers emphasized the need for clarity over density, and consistency over flexibility. These sessions guided multiple iterations of the concept before moving into validation.

Positive feedbacks

Usage

Most participants reported faster task completion when using the new layout. Reduced navigation steps and clearer information hierarchy helped dispatchers react more quickly during peak operational hours.

Easy to use

Customers perceived the solution as a clear improvement compared to their existing tools. The interface felt more predictable and required less explanation, especially for new team members.

History

Users confirmed that historical data is mainly used for investigations. As a result, it was deprioritized in the primary view and moved to a secondary layer, reducing visual noise in daily operations.

Core workspace usage
85%
Communication engagement
65%
Visual data reliance
92%
Secondary features usage
48%
Advanced feature adoption
73%

Outcome and impact

The redesigned Live Operations view was rolled out progressively to a subset of FleetSync customers managing medium and large fleets. The new experience focused on improving situational awareness, reducing reaction time, and supporting faster decision-making during daily operations.

Outcome and impact

The redesigned Live Operations view was rolled out progressively to a subset of FleetSync customers managing medium and large fleets. The new experience focused on improving situational awareness, reducing reaction time, and supporting faster decision-making during daily operations.

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