A luxury travel platform partnered with CleverX to usability-test its trip-planning experience. The goal was 45-minute moderated think-aloud sessions, where affluent travelers walked through planning a high-end trip and talked out loud about anything that slowed them down across the itinerary and booking flow.
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L
Luxury travel platform
Travel, Hospitality
A think-aloud usability test with affluent travelers
How CleverX over-delivered a hard-to-reach, high-income panel for a booking-flow usability study on a luxury travel platform.
6 of 5
Interviews completed (over target)
25%
Qualification rate
93 screened
Candidates reviewed
Overview
The challenge
- The audience was genuinely high-income, with clear luxury-travel behavior.
- Participants had to be the main or joint decision-maker for their household's international travel.
- They needed a real preference for custom or premium small-group travel over budget or large-group tours.
- A think-aloud test also needs people who are comfortable narrating their thinking on camera.
CleverX solution
CleverX built a screener around wealth and behavior, rather than relying on income alone.
- A nine-question screen layered age, household income, how often they travel in luxury, and their planning role.
- Signals of brand and lifestyle preference sharpened the targeting.
- It confirmed active intent, focusing on people planning a major international trip in the next 12 months.
- Sessions ran 45 minutes as a guided think-aloud walkthrough, over video.
Impact
- Over-delivered with 6 completed interviews against a target of 5.
- 25% qualified (23 of 93) on a demanding high-income profile.
- 96% of those who qualified were actively planning a major international trip, exactly the mindset the test needed.
Key takeaways
- Screening on behavior and preferences, not just income, is what surfaces genuinely affluent travelers.
- Confirming active intent means usability feedback comes from people in a real buying mindset.
- A moderated think-aloud format turns a hard-to-reach panel into deep, observed product insight.
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