Hegmof is a logistics company operating in Nigeria, offering reliable package delivery and pickup services. This project aimed to create a smooth digital experience for users and delivery agents. It included a landing page, a mobile app, and an admin dashboard. The dashboard helped manage operations more efficiently.
Working on the Hegmof logistics product was a transformative journey. It showed the value of user empathy, data-based decisions, and scalable design solutions
This project highlighted the importance of balancing user needs with operational requirements. The iterative design process helped refine features to align with user expectations.
My Role
Product Designer
Team
1 Product Manager, 3 Developers (Frontend & Backend), 1 QA
Project Duration
16 Weeks
The problem
The highlighted problems
💠 Streamlining operations: Manual logistics processes caused delays and inefficiencies.
💠 Customer engagement: Limited online presence restricted its ability to attract users.
💠 User experience: Lack of a robust digital platform for booking and tracking deliveries.
What were the goals
💠 Increase delivery booking completion by 30%
💠 Simplify scheduling for mobile users
💠 Reduce support calls about missed deliveries
Design Solutions
Landing Page
💠 Simple navigation and clear CTAs for bookings.
💠 Responsive design for all devices.
Easy-to-Use Mobile App for User
💠 Integrated GPS tracking and secure payment methods.
💠 User-friendly interface for effortless navigation.
Easy-to-Use Mobile App for Riders
💠 Integrated GPS tracking and secure payment methods.
💠 User-friendly interface for effortless navigation.
Admin Dashboard
💠 Advanced analytics for performance tracking.
💠 Easy task assignment and real-time updates on deliveries.
Design Impacts
💠 What happened: Within two months of launch, users spent 35% more time on the platform compared to the old system.
💠 Why it matters: A simple, intuitive interface helped users find what they needed quickly, improving overall satisfaction.
💠 What happened: Reduced booking completion time from 5 minutes to 2 minutes.
💠 Why it matters: Users no longer felt frustrated with clunky forms, leading to a 20% uptick in completed orders.
💠 What happened: Conversion rates rose by 40%, driven by clear calls-to-action and visually engaging content.
💠 Why it matters: Potential customers were more likely to book deliveries after landing on the website.
💠 Optimized rider navigation and order management reduced average delivery assignment time by 30%.
💠 Riders accepted and completed deliveries faster, improving delivery speed and increasing daily completed trips.
My Responsibilities
As a product designer, I make sure users like my designs and developers can build them.
💠 UI & flow documentation
💠 User research planning
💠 UX architecture
💠 Interaction design
💠 Wireframing
💠 Prototype design
💠 Trust and safety UX
💠 Design system
My Thought Process
Highlighted design process
Deep dive into my design process
User Research
I conducted user interview to know and get insights of what their point of views are and also what they want to better their experience
Some User Pain Points
User Persona
Flow Chart
Design RoadMap
Design Styles
Color Pallets
Typography
Components
Summary
What I Learned During This Project
💠 User feedback analysis
Observing real users struggle with existing logistics apps reinforced the need to simplify interfaces and prioritize clarity. This project taught me to listen more closely to user pain points and validate design choices through iterative feedback.
💠 Collaboration Drives Success
Working with cross-functional teams (developers, stakeholders, and operations staff) highlighted the value of clear communication. I learned that design is not just about looks. It also aligns business goals with user needs. This helps create smooth, seamless experiences.
💠 Scalability and Flexibility Matter
Building a logistics service in a growing market like Nigeria demanded solutions that could adapt. Incorporating features like multilingual support and modular design systems prepared the app for future expansions.
What’s Next for This Project
💠 Enhanced AI-Driven Features
Incorporate machine learning to predict delivery times and optimize routes for even faster service.
💠 Advanced Analytics Dashboard
Provide Hegmof admins with deeper insights into delivery performance and user behavior for strategic planning.
💠 Broader Accessibility
Expand into rural areas with offline functionality to support underserved communities.
