Case Study

Saver Fare Experience

Comprehensive UX research uncovering how travelers understand fare restrictions, shaping Alaska Airlines' future booking strategy

Role:User Experience Researcher InternTeam:2 designers, 1 PM, marketing partnersTimeline:10 weeks, launched 2018Platform:Alaska Airlines web + mobileScope:Discovery to recommendations
Alaska Airlines Saver Fare Experience Research

Key Contributions

  • Led mixed-methods research across 60+ participants over 10 weeks.

  • Designed and moderated remote usability testing for desktop and mobile flows.

  • Synthesized qualitative data into actionable themes through affinity mapping.

  • Translated research findings into strategic design recommendations.

  • Informed Alaska Airlines' approach to transparent pricing and fare clarity.

At a glance

Problem

Travelers didn't fully understand Saver Fare restrictions, leading to confusion, frustration, and abandoned bookings.

Outcome

Research-driven recommendations that shaped Alaska Airlines' approach to fare transparency and booking confidence.

What I owned

Research design, participant recruitment, moderated testing, synthesis, and strategic recommendations.

Constraints

Competitive positioning pressure, existing booking flow architecture, mobile-first audience.

The challenge

Understanding the research problem

Many travelers didn't fully understand Saver Fare's restrictions during early testing, leading to confusion and frustration. My goal was to identify the root causes of this misunderstanding through in-depth user research.

Confusing fare comparison

Travelers struggled to understand practical differences between fare types.

Hidden restrictions

Key limitations weren't obvious until later in the booking flow.

Abandoned bookings

Confusion led to cart abandonment in testing, increasing potential for support calls.

Unclear value

Customers couldn't assess if lower price justified restrictions.

Research approach

Mixed-methods study

I designed a mixed-methods study that combined usability testing and foundational research to reveal mental models, pain points, and design opportunities around fare comprehension.

01

Recruitment & Screening60+ participants across 10 weeks.

02

Remote Moderated TestingDesktop and mobile booking flows.

03

Qualitative InterviewsIn-depth fare comprehension questions.

04

Synthesis & Affinity MappingThemes across confusion and trust.

Desktop: Saver-to-Choice flow

Mobile: Fare comprehension testing

Key findings

What I discovered

Through iterative testing and synthesis, four critical themes emerged that shaped my understanding of fare comprehension and booking confidence.

Non-combinability message caused friction

Lack of disclosure regarding fare selections created confusion.

"I didn't realize I couldn't book different fare types."

Participant feedback

Non-combinability message caused friction

Upsell modal increased comprehension

Travelers understood fare differences better when guided through contextual comparisons.

"Now I can actually see what I'm getting with each option."

Participant feedback

Upsell modal increased comprehension

Seat map lacked legend clarity

Travelers couldn't differentiate between paid and included seats.

"Which seats can I actually choose from?"

Participant feedback

Seat map lacked legend clarity

Reminder screens reinforced restrictions

Fare rule recaps before checkout increased trust.

"Good to see this reminder before I complete my purchase."

Participant feedback

Reminder screens reinforced restrictions

Recommendations

From insights to action

Research findings translated into actionable recommendations that guided Alaska Airlines' UX and digital experience teams toward improved fare clarity and booking confidence.

Enhanced fare comparison

Side-by-side visual comparison with clear savings callouts and restriction summaries.

Expected impact: Improved comprehension of value proposition.

Progressive information display

Primary details upfront with expandable sections for comprehensive fare rules.

Expected impact: Reduced cognitive load while maintaining transparency.

Mobile-first optimization

Vertical layout with thumb-friendly targets and sticky selection controls.

Expected impact: Seamless mobile booking experience.

Transparent pricing

Clear communication of restrictions with contextual warnings and confirmations.

Expected impact: Increased trust and reduced support calls.

Decisions and tradeoffs

What I recommended, and what I ruled out

Every fare decision is a trade between price clarity and conversion. These were the calls that shaped the research.

Considered

Disclosing Saver Fare restrictions deep in the booking flow at payment.

Chose

Disclosing restrictions at fare selection, before any commitment was made.

Why

Hidden restrictions drove the strongest negative sentiment in research. Moving disclosure forward traded short-term conversion concern for long-term trust.

Considered

A toggle to compare Saver against Main fare on demand.

Chose

An always-visible side-by-side comparison at the decision point.

Why

Users skipped optional comparison and then felt misled. Making the comparison default removed the regret loop without adding clutter.

Considered

Upsell to Main fare as a banner above the fare grid.

Chose

Upsell as a contextual prompt only when the user's selection conflicted with their stated trip needs.

Why

Persistent upsell read as pressure. Conditional upsell read as guidance and converted better in testing.

Impact

What the research changed

The research shaped Alaska Airlines' approach to transparent pricing across booking, marketing, and customer education.

18%

Projected lift in Saver Fare bookings

Modeled from pre-launch usability testing, not measured after release. Clearer fare comparison raised booking confidence in session, and this is what that was projected to be worth.

Recommendations shipped

The fare comparison, the forward disclosure, and the pre-checkout fare-rule recap went into the Saver Fare release.

Comprehension improved in session

Participants described fare differences accurately once the comparison was default rather than optional. Measured in testing, not after launch.

Looking ahead

What I'd do next

Lessons learned

  • Transparency builds trust. Customers preferred seeing restrictions upfront.

  • Progressive disclosure works. Primary info visible, details on demand.

  • Mobile-first is essential. Majority of bookings happened on mobile.

Future directions

  • Accessible pricing visualization for users with visual impairments.

  • Integration with loyalty program benefits to enhance perceived value.

This research proved that clarity is a competitive advantage. When travelers understand what they're getting, they book with confidence. Research-driven UX strategy builds trust and loyalty.

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