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Hemut Roast: Fixing SaaS Fleet Management Driver Page UX Issues

Hemut Roast: Fixing SaaS Fleet Management Driver Page UX Issues

Hemut Roast: Fixing SaaS Fleet Management Driver Page UX Issues

We redesigned Hemut’s Drivers Page, improving list visibility, driver identification, and trip tracking to make fleet operations more transparent, actionable, and scalable.

Hemut

AI-powered operating system for trucking companies.

YC Batch

YC Batch

Spring 2025

Industry

Industry

Supply Chain and Logistics

Challenge

The original drivers page relied on coordinate data, which was hard to interpret without context. Driver details like load numbers only appeared after selection, forcing extra clicks. The design also lacked clear identifiers such as profile pictures, making it harder to scan large fleets. In logistics SaaS, where speed and clarity matter, fixing confusing SaaS screen flows and reducing cognitive load are essential to help operators manage hundreds of trucks in real time.

Challenge

The original drivers page relied on coordinate data, which was hard to interpret without context. Driver details like load numbers only appeared after selection, forcing extra clicks. The design also lacked clear identifiers such as profile pictures, making it harder to scan large fleets. In logistics SaaS, where speed and clarity matter, fixing confusing SaaS screen flows and reducing cognitive load are essential to help operators manage hundreds of trucks in real time.

Our Approach

We added driver photos and city names instead of raw coordinates, leveraging recognition over recall. Load numbers and statuses were surfaced directly in the list to reduce unnecessary clicks (Cognitive Load reduction). A restructured detail panel included maps, live progress indicators, and nearby trucks—aligned with users’ mental models of fleet dashboards. We also introduced a delivery timeline with milestones for better progress visibility (Visual Hierarchy). Instant call CTAs were added to reduce friction, while typography and layout updates applied the Aesthetic-Usability Effect for trust and readability.

Our Approach

We added driver photos and city names instead of raw coordinates, leveraging recognition over recall. Load numbers and statuses were surfaced directly in the list to reduce unnecessary clicks (Cognitive Load reduction). A restructured detail panel included maps, live progress indicators, and nearby trucks—aligned with users’ mental models of fleet dashboards. We also introduced a delivery timeline with milestones for better progress visibility (Visual Hierarchy). Instant call CTAs were added to reduce friction, while typography and layout updates applied the Aesthetic-Usability Effect for trust and readability.

Outcomes

The redesigned Drivers Page makes fleet tracking faster, clearer, and more human-centered. Operators can now identify drivers instantly, view meaningful locations instead of cryptic coordinates, and anticipate delivery progress with timeline cues. These upgrades reduce churn, improve onboarding, and strengthen trust, applying SaaS screen UX tips for revenue growth in high-pressure logistics environments.

Outcomes

The redesigned Drivers Page makes fleet tracking faster, clearer, and more human-centered. Operators can now identify drivers instantly, view meaningful locations instead of cryptic coordinates, and anticipate delivery progress with timeline cues. These upgrades reduce churn, improve onboarding, and strengthen trust, applying SaaS screen UX tips for revenue growth in high-pressure logistics environments.

BEFORE

AFTER

WHY

Coordinates shown as raw numbers

Replaced with city names

Applies recognition over recall for faster comprehension

Load numbers hidden until selection

Load numbers visible in list

Reduces cognitive load; less clicking needed

No driver identification beyond text

Driver photos added

Improves visual anchors and quick scanning

Basic detail panel with limited info

Expanded detail panel with map, progress, nearby trucks

Matches mental models of fleet operators

Only start/destination shown

Delivery timeline with milestones

Enhances visual hierarchy for better tracking

Coordinates and status only

Call CTA + car details surfaced

Applies Fitts’s Law—important actions closer to user

BEFORE

Coordinates shown as raw numbers

Load numbers hidden until selection

No driver identification beyond text

Basic detail panel with limited info

Only start/destination shown

Coordinates and status only

BEFORE

Coordinates shown as raw numbers

Load numbers hidden until selection

No driver identification beyond text

Basic detail panel with limited info

Only start/destination shown

Coordinates and status only

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