Context

Solartrip is a next-generation travel platform that lets users book flights and luxury hotels using cryptocurrency. Positioned as a modern, tech-forward product, Solartrip focuses on premium experiences — from five-star accommodations to first-class flights.

Task and goal

Enable users to personalize their experience within the app. Clearly communicate how the loyalty system works

Metrics

Our broader goal is to increase product loyalty and improve retention. We believe that highlighting loyalty programs and offering personalization can help achieve this

Discovery

We gathered benchmarks of user profiles across various apps, which helped us identify common trends and approaches to solving similar challenges

Solartrip profile benchmarks

Research results

Following the discovery phase, we formulated a set of hypotheses, ranked them from least to most complex, and began working through them

Profile photo and background

The first updates focused on a more personalized section with user details. We designed a set of unique gradients to add individuality to each profile

Travel stats

We wanted the profile to be more than just a place for personal info and rewards — it should also highlight unique travel statistics: countries visited, nights spent in hotels, and miles flown.

We believe this can positively impact retention and drive organic growth. In the future, this section could evolve into a full-featured travel history with an interactive map and a list of visited countries

Loyalty block

We improved the way bonuses and digital collectibles are presented, making them clearer and more engaging for users. The updated design highlights their value and encourages users to explore and interact with the loyalty system

Solartrip loyalty bonuses
Solartrip digital collectibles

Personal data

We updated the personal data editing flow, aiming to make it more visually appealing and easier to use

Solartrip personal data screen
Solartrip personal data editing flow

Result

We implemented and released the redesign. Now we’re collecting data and planning the next iterations

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