Christopher PagaczUX/UI designer
Selected projects

UX design · Car-rental booking

FLEET.

UX research and interface design for a car-rental booking website.

Context
UX Design Institute · 2024
My focus
Research, analysis, user flows & interface design
Tools & methods
Figma · Benchmarking · Journey mapping
Deliverable
Booking concept, wireframes & prototype
FLEET home screen with location and date search, a blue car image and vehicle-make browsing.
The original FLEET prototype. Search by location and date sits alongside an alternative route through vehicle makes.View full size

Project overview

rental services reviewed
4
moderated usability session
1
course project
2024

01 · The brief

Project brief and my role

FLEET is a car-rental booking website concept I developed during my UX Design Institute course. I researched existing services and used the findings to develop a proposed booking flow and interface.

I completed competitive benchmarking, moderated a usability session, analysed the findings, and produced an affinity diagram, customer journey map, user flows, wireframes and Figma prototype.

02 · Research

Competitive benchmarking and usability testing

I benchmarked Turo, TheOut, Avis and Sunrise Auto Rentals. These covered different approaches to car rental, giving me a way to compare how services presented the booking process.

I also moderated a remote usability session on Turo. The participant worked through a rental-car booking task while describing their decisions and reactions. My notes covered their goals, behaviour, context, positive interactions and points of difficulty.

This was a small exploratory study. The session provided a detailed account of one person’s experience, rather than evidence of how all rental customers would behave.

03 · Analysis

Research findings and design priorities

I grouped the research notes in an affinity diagram and mapped the observations to stages in the booking process. This helped me identify where the participant encountered difficulties and which parts of the existing service supported the task.

The journey map captured both useful patterns and gaps. The participant found the search and filter bar approachable, but still struggled to find a suitable car: the results felt busy, an automatic-car filter was missing, and vehicle information did not always answer their questions. Later in the journey, fees and optional extras made the final price uncertain.

Reviewing this work, I identified two priorities for further development: helping customers compare cars against their requirements, and showing the full cost before booking. I would use these criteria to evaluate the next version of the prototype.

Original customer journey map showing booking stages, goals, behaviours and points of friction.
My customer journey map, showing the participant’s goals, behaviour and difficulties at each booking stage.View full size
View supporting material (1)
Extract of the original affinity diagram grouping anonymised notes into user intentions, observations and booking pain points.
An extract from my affinity diagram, grouping related session notes before I mapped them to booking stages.View full size

04 · Design

Booking flow, wireframes and prototype

I developed a booking flow, hand-drawn sketches, annotated wireframes and a Figma prototype. The sketches explored search inputs, a results grid, a map and a vehicle-detail page before those layouts became interface screens.

I placed sorting and filtering above the vehicle cards on the results screen. Each card shows a photo, model, year, rating and price in a consistent position. I also designed a list/map switch and a map view with vehicle images around the selected location.

I designed a vehicle-detail screen for the selected car and a checkout screen grouping extras, protection and payment beside a booking summary. These screens form the course prototype. Further usability testing would be needed to assess how well they address the research findings.

Original booking-flow extract showing location autocomplete and pickup and return date and time selection.
An extract from my booking flow showing location autocomplete and pickup and return date and time inputs.View full size
Original FLEET results screen with sorting, filters, a list/map switch and four car cards showing model, rating and prices excluding tax and fees.
Comparing cars in the original prototype. Consistent cards expose key details, but the displayed totals still exclude tax and fees—an important gap to address in the next iteration.View full size
FLEET vehicle-details screen showing a car image, model information, rating and rental price.
Vehicle selection in the original prototype. The detail screen combines vehicle information and the rental price.View full size
FLEET checkout with extras, protection and payment options beside a booking summary.
The original checkout screen. This proposed flow would need further testing against the price-clarity concerns found in research.View full size
View supporting material (2)
Four original pencil sketches exploring the FLEET search page, map, results cards and vehicle-detail layout.
Original layout sketches. Search, list and map views were explored on paper before the Figma screens.View full size
Original FLEET map concept with vehicle-image markers around Heathrow Airport and a list/map switch.
The original map concept offers a location-based alternative to the results list. Marker selection, price visibility and the handover back to the list would need testing.View full size

05 · Reflection

Gaps in the prototype and next steps

The most useful lesson came from reviewing the finished work. I had spent considerable time on research and analysis, but did not carry all of those findings through clearly enough into the final prototype.

The price presentation is a concrete example. Research identified uncertainty about fees, yet my results cards still show a total excluding tax and fees. The checkout provides a breakdown later, but that does not resolve the earlier comparison problem.

My next iteration would show the total booking cost earlier, make required vehicle features easier to compare, and check that list and map views preserve the same search context. I would then ask participants to find a suitable car and explain its full cost before booking. Those are proposed changes and tests; I have not yet validated a revised design.