Zone7

(

2025

)

Zone7 is an AI-based platform designed to monitor athlete performance and predict injury risk using biometric, workload, and contextual data.

This project focused on redesigning the platform to better support real-time decision-making, transforming complex analytics into clear, actionable insights for coaches and performance teams.

role

Brand & Product Designer

Industry

Sports Tech, AI-Powered

The challenge

While the platform provided deep and valuable data, the experience was not optimized for real-world use.

Coaches were exposed to:

Complex dashboards with little hierarchy
Risk scores without clear recommendations
High cognitive load in time-sensitive environments

As a result, critical insights were difficult to act on during training or matches.

Solution

Team Command Center
A simplified main dashboard focused on key metrics like recovery rate, risk levels, and weekly trends

AI Training Assistant
An LLM-based assistant that translates data into personalized training and recovery recommendations

Dual player view
Combination of structured lists and a visual pitch view for faster situational awareness

iPad-first redesign
Optimized layout for tablet use with side panels and minimal navigation friction

Primary users

Coaches and performance staff

Require rapid, high-level overviews of athlete status, and practical recommendations that can be used during training or matches.

Medical and rehabilitation staff

Need detailed player-specific reports with historical data, risk factors, and workload metrics to support recovery plans.

Design approach

The design focused on clarity, hierarchy, and usability in high-pressure environments.

Prioritized essential data over completeness
Reduced visual complexity
Introduced progressive disclosure for deeper insights
Balanced detailed analysis with quick-glance summaries

Outcome

The redesign shifted the platform from a data-heavy monitoring system to a more practical, insight-driven tool.

Coaches can now:

Quickly assess team status
Identify high-risk players
Take immediate, data-backed action

Reflection

This project explored how AI can support decision-making, not just analysis.

It reinforced the importance of:

Translating data into action
Designing for real-world constraints
Creating systems that work alongside users, not just inform them

Other work

Taro

MindCET

(

2026

)

NextCharge

(

2025

)

Discount Bank | Career Website

Discount Bank (via Team Me)

(

2025

)

Zone7

Zone7

(

2025

)

Solution

Primary users

Coaches and performance staff

Medical and rehabilitation staff

Design approach

Outcome

Reflection

Other work

Taro

NextCharge

Discount Bank | Career Website

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