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The multi-platform sports performance application

Why?

Coaches, athletes, and sports organizations rely heavily on video, statistics, and performance analytics to improve individual and team performance. However, existing tools were fragmented, inconsistent across platforms, and varied dramatically depending on the user’s role and region.
The goal was to create a unified, intuitive, and flexible experience that could work seamlessly for coaches, athletes, parents, and administrators — on both mobile and desktop — while also supporting regional differences such as US high school sports, European clubs, and casual/amateur environments.

Challenge

The project faced several major challenges:

  • Different usage patterns: Coaches primarily rely on desktop for analysis, while athletes use mobile for personal progress and highlights.

  • White-labeling and multiple forks: Each league, school, club, or federation required customized versions of the app.

  • Inconsistent UX across platforms: Mobile and desktop had evolved independently for years.

  • High development overhead: Lack of a unified design system slowed down implementation and increased maintenance complexity.

  • Regional differences in sports culture: Varying expectations, analytics depth, and user behavior across countries.

Additionally, the app required role-specific UX:

  • Coaches → analytics, strategy, team and game review

  • Athletes → personalized clips, highlights, progress tracking

  • Parents → athlete tracking and simplified dashboards

The product also had to integrate an advanced AI assistant (Tactix) that helped coaches analyze games and teams, and helped athletes generate personalized highlights, playlists, and areas of improvement.

Research & Discovery

To design an experience suitable for multiple user types, regions, and platforms, I built a comprehensive research framework combining qualitative, quantitative, and comparative methodologies.

1. In-Depth User Interviews

We conducted structured interviews with:

  • Coaches: workflows for video review, playlist building, analytics, and strategy

  • Athletes: personal motivation, content consumption, learning behavior

  • Parents: tracking, game results, child-focused experience

  • Admins & athletic directors: school/league structures and white-label needs

  • Camera operators & video technicians: integration with recording workflows

The focus was on revealing real-world behavior, moments of friction, cross-platform touchpoints, and expectations for mobile vs. desktop.

2. Multi-User-Centric Design Approach

I developed a design model where each role received a tailored UX layer:

  • Coaches → deep analysis tools, multi-angle video review, dashboards

  • Athletes → progress-oriented UI, highlights, personalized feed

  • Parents → simplified tracking, media feed, performance summaries

  • Admins → management tools, role assignment, content control

This approach allowed us to structure the interface as modular blocks that could dynamically adapt based on role, region, or platform.

3. Competitor & Market Analysis

We benchmarked platforms across several domains:

  • Sports analytics (Hudl, Instat, Synergy, VEO, Spiideo etc)

  • Athlete-focused apps

  • High school sports platforms (US market)

  • Amateur and recreational sports tools

  • Consumer media applications

We evaluated role handling, navigation patterns, analytics visualization, content structures, and motivation mechanics.

4. Analysis of Existing White-Label Versions

We reviewed:

  • Usage metrics

  • Clickstream data

  • User logs

  • Feature adoption in different regions

  • UX differences between dozens of forks

This helped identify core functionality and eliminate legacy design inconsistencies.

5. Scenario & Journey Mapping

I created detailed role-based user journeys, identifying:

  • Critical scenarios

  • Motivation triggers

  • Pain points

  • Context of use (stadium, home, school, training facility)

A key finding was that the interface had to be context-aware and prioritize different tasks depending on the role-device combination.

6. UX Framework & Architecture

Based on the research, I developed a scalable UX framework including:

  • Unified data model

  • Flexible navigation structure

  • Role-specific dashboards

  • Video-centric architecture

  • Modularity to support white-label customization

  • Cross-platform consistency guidelines

This framework became the foundation for all subsequent design and development efforts.

Design & Prototyping

Wireframes

Created detailed low-fidelity wireframes outlining:

  • Role-specific navigation

  • Video and analytics workflows

  • AI-assisted flows for coaches and athletes

  • Mobile vs. desktop task distributions

High-Fidelity Prototypes

Developed interactive prototypes simulating complete end-to-end scenarios:

  • Coach reviewing game performance

  • Athlete accessing personalized highlights

  • Parent tracking their child’s progress

  • Admin managing team and content

AI Integration — Tactix Assistant

Designed flows for the integrated AI assistant that helped:

  • Coaches analyze games, detect patterns, and get tactical suggestions

  • Athletes generate highlight reels and personalized improvement playlists

  • Teams understand areas of improvement faster and more accurately

Design & Functionality

Role-Adaptive Interface

The UI dynamically adapts to the user’s role, emphasizing the most relevant tools and content.

Modular White-Label Architecture

The interface supports dozens of forks with unique:

  • Branding

  • Navigation

  • Feature toggles

  • Regional requirements

Unified Mobile & Desktop Experience

Mobile → athlete-focused, quick-access, personal
Desktop → coach-focused, analysis-heavy, data-rich

Massive Design System

I created a large-scale, automated design system that was:

  • Deeply integrated into frontend code

  • Fully tokenized

  • Modular

  • Scalable for white-label needs

  • Supported fast development with minimal engineering overhead

This dramatically reduced maintenance costs and eliminated inconsistencies across forks.

RESULT

A unified, scalable, and role-adaptive sports platform

The final solution:

  • Delivers a cohesive experience across desktop and mobile

  • Supports multiple roles and drastically different use cases

  • Scales across continents, leagues, and skill levels

  • Integrates advanced AI analysis features

  • Greatly reduces engineering support needs

  • Enables faster creation of new white-label versions

The platform is now actively rolled out across the US and Europe, with positive feedback from coaches, athletes, and administrators.

…is a role-adaptive system designed for coaches, athletes, and parents. It provides advanced tools for video analysis, personalized highlights, tactical insights, and athlete tracking across both mobile and desktop. Built to support extensive white-label customization for schools, clubs, and regional sports organizations, the application offers a unified yet flexible experience powered by a scalable design system and integrated AI assistant to enhance training, strategy, and player development.