Structured AI platformengineered for scalable learning

AI Systems ArchitectureUX/UI EngineeringWorkflow AutomationBackend Development

UI/ux design for a dating platform

system design for AI-driven education

Cray

Client

Cray

Industry

Other

Headquarters

United Kingdom

Services

UI/UX Design

About project

Cray is an AI-driven platform designed to create meaningful digital connections through intelligent matching, structured interaction patterns, and behavior-aware recommendation systems.

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Challenges & Solutions

Problem

Existing platforms prioritized volume over quality — shallow matching algorithms and cluttered interfaces led to low meaningful engagement and high churn.

Solution

Zylo engineered a behavioral matching engine and intentional UX design that reduced cognitive load, guided users toward meaningful interactions, and improved session depth.

Process

1

Discovery

Behavioral analysis

User journey mapping

Engagement metric review

Competitive analysis

Churn driver identification

2

Product Architecture

Recommendation engine design

UX pattern library

Interaction flow structure

Notification system logic

Analytics integration

3

Implementation

Frontend engineering

Algorithm tuning

A/B testing setup

Launch optimization

System Architecture

The recommendation engine uses behavioral signal processing, preference modeling, and real-time engagement scoring to surface high-quality matches.

System Architecture

Interface Engineering

The interface was intentionally stripped of distractions — clean profiles, structured conversation starters, and progressive disclosure of features maintain user focus.

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Technology that connects people through intention, not just proximity.

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MOBILE-FIRST
EXECUTION

Mobile-first interaction patterns were designed around natural thumb zones, swipe ergonomics, and notification timing optimized for user retention.

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UI Kit

Component library covers profile cards, match indicators, conversation threads, interest tags, and engagement score visualizations.

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AUTOMATION
FRAMEWORK

Match scoring, compatibility weighting, notification triggers, and engagement nudges are fully automated through the behavioral intelligence layer.

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Design system

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Results

+83%

Improvement in meaningful match rate

2.6×

Increase in average session depth

-47%

Reduction in 7-day churn rate

4.7/5

App store rating post-redesign

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