

Simplifying the Flight Booking Experience
My Role | Duration | Software Used |
|---|---|---|
UX Design | 4 Months | Miro |
UI Design | Figma/
Creative Suite | |
AI Integration | Pen and Paper |
My Role | Duration | Software Used |
|---|---|---|
UX Design | 4 Months | Miro |
UI Design | Figma/
Creative Suite | |
AI Integration | Pen and Paper |
Overview
Hi, the writing and design of this page being currently updated!
Flyt is a speculative redesign of a flight-booking platform created to address real user frustrations found in industry-leading sites. The goal was to make booking faster, clearer, and more intuitive — cutting through the clutter that often overwhelms travellers in other popular sites.
I worked through all stages of the UX process, from discovery research to high-fidelity prototyping, using both qualitative and competitive research methods.

The Challenge
Current popular flight booking sites can be bloated with offers , extras and unnecessary steps that can slow down a booking. The aim of this study was to look at a best case scenario 'happy path' through the booking process to see if it's possible to improve the experience for the user - removing confusion, reducing unnecessary steps, and guiding users seamlessly to purchase.
The Solution - Reduced clicks and simplified customer journey
(Writing here is being updated - will update shortly! Bottom line is that you can book a flight through the flow of this project faster then most people read this section! 😀 )
The research discovered room to streamline the process to align more clearly with the users mental model. Simplifying the user journey to just focus entirely on the reason why a typical user is on the site and guiding the user at every stage. The experience tells the user that the site is aligned with their need to get through the booking as quickly as possible - it does this by taking away or hiding the extras that aren't central to the happy path. Extras are hidden in tabs that the user sees but can easily bypass. The site recognises the user, remembers previous experiences, knows your location and gives the impression of a friend working with you to get the best deal for you.


Research & analysis activities
Methods used:
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Competitive benchmarking of major booking platforms
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Remote usability testing
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Qualitative analysis
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Customer journey mapping and flow diagrams
Key findings:
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Ambiguous CTAs & unclear field labels slowed task completion.
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Pop-ups and drop-downs often obscured the main search field, creating immediate friction.
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Duplicate page layouts for outbound/return fares led to user confusion.
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No smart defaults — users repeatedly entered location and language preferences.
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Extras pages caused mistrust and friction (“hidden fees?”).
Problem Statement
Users struggle to move confidently through flight booking flows due to cluttered interfaces, unclear guidance, and unnecessary repetition.

A flow diagram was created to work out the optimum journey through the booking process

A Customer Journey Map became the focus of the new design and was constantly referred to during the iteration process


A Customer Journey Map became the focus of the new design and was constantly referred to during the iteration process

Design Approach
Grounded in the research, I defined an ideal booking flow that prioritised clarity, guidance, and speed.
Core design decisions:
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Smart defaults: Auto-detect returning users and location settings to skip redundant steps.
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Guided progression: Highlight “next step” fields with clear CTAs and visual feedback.
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Minimal layout: No obstructive ads or drop-downs; focused purely on booking flow.
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Animated feedback: Smooth transitions signal task completion and progression.
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Progressive disclosure: Show only essential information at each stage to reduce overload.
The result: a faster, simpler “A-to-B” journey through booking with fewer clicks and less confusion.

Using user recognition and assumptions flow starts at the 'Where to' field. Flyt uses minimum clicks through the search box process, guiding the user.

Design ideas started with sketching out and iterating possible approaches based on the research and the flow diagram. Mid and High-Fidelity prototypes were then created.



A flow diagram was created to work out the optimum journey through the booking process

Outcome
Using insights from my mid-fidelity prototype testing, I developed a high-fidelity prototype to validate usability and interaction flow.
Feedback indicated that users:
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Found it easier to identify their next step
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Completed the flow faster with fewer errors
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The pared-back ad-free layout benefited their focus (no distractions from the main task)
The current prototype focuses on clarity and functional flow, setting the foundation for future usability testing and accessibility refinement..

Next Steps
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Conduct larger-scale usability testing to validate assumptions.
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Integrate accessibility compliance (WCAG 2.2).
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Explore integration of AI-based user recognition for smart defaults.



