Courto
A modern mobile app for tennis players to track scores, book courts, and connect with fellow athletes.
Industry
B2B AIaaS · Enterprise SaaS
Role
Sport· Digital Solutions
Team
Designer-Led Team (3D · 1PO · 2TPM · 3AI Sci · 2BE)
Duration
3 months
Context
Courto’s early app experience lacked structure: score tracking was unreliable, booking courts was clunky, and community features felt underdeveloped.
Players struggled to keep all their tennis activities in one place. The brand needed a unified, modern platform to support both casual and competitive athletes.
Core Product Challenges
Three constraints prevented the POC from operating as an enterprise product
The challenge was not visual consistency alone. The platform needed a product model that connected modules, workspaces, permissions, and system feedback into one understandable experience.
Three product-level constraints shaped the redesign:
Fragmented AI Modules
AI capabilities existed as isolated functions without a shared workflow, making it difficult to understand how modules connected or what users should do next.Undefined Multi-tenant Structure
Workspace, role, and permission concepts lacked a clear product model, limiting the platform’s ability to support enterprise collaboration.Low Visibility During AI Operations
Long-running AI tasks provided limited feedback about progress, system status, and possible next actions.
Discovery
The redesign set out to deliver a sleek, player-focused companion app that makes tennis more accessible and enjoyable.
From tracking scores to scheduling matches, Courto aimed to simplify the way players connect, improve, and stay engaged on and off the court.
A platform-wide heuristic review surfaced 43 experience and architecture gaps. Affinity mapping turned those findings into four product priorities, creating a roadmap that connected immediate usability fixes to longer-term platform structure.
Top Heuristic Violations
43
Audited gaps mapped across Nielsen's heuristics.
Consistency & Standards — 35% (15 items)
Visibility of System Status — 20% (9 items)
Efficiency & Flexibility — 16% (7 items)
User Control & Freedom — 14% (6 items)
Product Decisions
We created a mobile-first design with a clean interface, intuitive navigation, and playful visuals inspired by the sport.
Key features like score tracking, court reservations, and social match-making were streamlined into one cohesive experience, building trust and excitement among tennis players.
Impact
A clearer foundation for an enterprise AI platform
This work moved Vyin from a collection of technical capabilities toward a more coherent product model. It established shared priorities for module structure, workspace architecture, system feedback, and reusable interaction patterns. Because validated adoption and business metrics were unavailable, the outcome is presented as a product and delivery foundation rather than quantified impact.
Reflection
AI product design is an architecture problem before it is a UI problem
The central challenge was turning fragmented technical capabilities into a product experience that people could understand, trust, and scale. Working across discovery, UX architecture, interaction design, and delivery strengthened my ability to connect technical constraints with product decisions. Evidence that would strengthen this case further includes post-release usage signals, task-level usability findings, and stakeholder or customer feedback when those become available.
