UI / UX Design

Designing a centralized analytics and management platform for Uganda's first electric mass transit service, turning fragmented operational data into clear, actionable intelligence for fleet managers and finance teams.

Role: Lead in User Research, Analysis & MVP Definition

Year :

2026

Project Duration :

5 months

Tools :

Figma, FigJam, Google Forms and Sheets

E-Bus Xpress operates electric buses across different routes in Uganda, generating thousands of ticketing and payment transactions daily. Despite a growing fleet and passenger base, operational decision-making was still largely reactive and relied on delayed spreadsheet reports rather than real-time data. The core pain points surfaced through stakeholder interviews and workflow shadowing.

No central visibility: Revenue, trips, and passenger data lived in disconnected systems, requiring manual aggregation before any analysis

Slow reporting cycles: Finance managers spent 3–4 hours per week pulling together reports, mostly from Excel exports

Poor decision support: Stakeholders couldn't identify route underperformance, occupancy trends, or revenue leakage

We knew the numbers were in there somewhere, we just couldn't see them without spending half our morning on Excel

As a result, operational teams struggle to optimise routes, improve service reliability, and make data-driven decisions in real time.

The solution was built using a user-centred, dashboard-driven approach, focusing on clarity, hierarchy, and decision-making efficiency. I used a multi-layered Information architecture (IA) by structuring the analytics experience into three progressive layers.

High-level KPIs for quick performance monitoring

Visual insights (charts) for trend analysis

Detailed trip-level data for operational deep dives

This ensured there was less cognitive overload and allowed users to move from overview → insight → detail seamlessly.

I also designed a flexible filtering system (date, region, route, bus, etc.) to enable the users to drill down into specific operational contexts, compare performance across different segments and generate targeted reports.

I then added an integrated export functionality (CSV, Excel, PDF) to support offline reporting, financial reconciliation and stakeholder communication

Too much information at once overwhelms users, so we wanted to reduce the detail shown at any one time. Settling on key KPIs required a bit of back-and-forth within the team, but the main performance indicators were identified. Looking back, a customisable dashboard where users can add or remove desired KPI tiles could help all users see what they want to see.

Users in operations management also found the route creation section difficult to navigate. I added a stepper component to help users see which section of the process they were in and to move easily back and forth between sections as they create routes.

Through iterative design and usability testing, I transformed a data-heavy reporting experience into an intuitive analytics dashboard, reducing reporting time and significantly improving users’ ability to make data-driven decisions and ease their day-to-day operations