Optimus
Data‑Driven Insights for Smarter Table Tennis Analysis
Company
Optimus
Category
SaaS Platform
Industry
Sports Technology
SErvice we provided
Research & Prototyping
About the Project
Optimus is a sports analytics platform that provides instant, data‑driven insights into table tennis players worldwide. Users can search for any player and access detailed match histories, performance statistics, strategic tendencies, and AI‑powered winning probability predictions.As the UI/UX Designer, I created an interface that makes complex sports data both engaging and easy to digest. The goal was to transform raw analytics into interactive, narrative‑driven insights for fans, coaches, and professional players. My process combined sports research, UX best practices, and iterative visualization testing to ensure clarity and excitement.
(01)
The Challenge
Sports data—especially strategy and performance metrics—can be overwhelming for casual users and time‑consuming for analysts. The challenge was to design a platform that simplifies deep statistical models and predictive algorithms into clean, human‑readable visuals that users can explore effortlessly.
(02)
Immersion & Research
Understanding player behavior, sports analytics, and user expectations
To build an analytics tool that feels natural to sports enthusiasts, I conducted comprehensive research:
Analyzed how players and fans interpret match insights and performance stats
Studied existing sports analytics platforms to identify UX gaps
Interviewed enthusiasts and amateur players to understand which stats matter most
Researched predictive modeling concepts used in sports science
Tested information hierarchy models for player profiles and match timelines
This research revealed how crucial clarity, speed, and visual storytelling are in sports analytics.
(03)
UX Strategy & Information Architecture
Data-rich, interactive, and visually intuitive
The UX strategy focused on organizing complex data into approachable layers:
Designed player profile dashboards showcasing match history, strengths, weaknesses, and performance summaries
Built predictive insight modules with AI‑powered win probabilities for upcoming matches
Implemented interactive visualizations—heatmaps, trend graphs, comparison charts, and performance timelines
Created a search-centric navigation flow for quick access to any player
Structured the platform to work for both casual fans and data‑focused analysts
The result is a product that feels analytical yet accessible.
(04)
Visualizations, Prototyping & Usability Testing
Bringing sports data to life
To ensure clarity and engagement, I refined the platform through iterative testing:
Developed multiple visualization concepts for performance trends
Designed immersive match timelines combining stats with visual storytelling
Validated readability and usability with sports enthusiasts and amateur players
Ensured the predictive modules feel trustworthy, not confusing
Tested interaction flows for comparing player performances
User testing confirmed that interactive elements significantly improved engagement and comprehension.
(05)
Final Outcome & Impact
A platform where sports passion meets predictive intelligence
The final design delivers a powerful, intuitive analytics experience:
Comprehensive player profiles with detailed stats and match history
Clear, AI-driven winning probability insights for upcoming matches
Interactive visualizations that make strategy analysis exciting
Fast, intuitive search for instant access to player data
A scalable design system adaptable for future sports and new data types
Optimus transforms complex data into actionable, enjoyable insights, helping users understand the game on a deeper level.
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