🧪 Sporttrade Market Operations & Messaging

A fast-moving startup reimagining sports betting as a stock trading experience needed internal tools to help market operators manage real-time game data accurately, efficiently, and at scale.

🔍 The Problem

Market operators were managing live sports data in massive Google Sheets. This was error-prone, hard to learn, and impossible to scale. Mistakes meant app users could lose (or gain) money unfairly, eroding trust in a newly launched product.

🛠️ Solution

We designed a lightweight internal dashboard tailored to how operators actually think and work and not just what the data says. Through interviews, prototyping, and testing, we landed on a card-based system that let them track, update, and manage live sports outcomes with speed and accuracy. A flexible sidebar supported multitasking, and we expanded the brand system to give the dashboard its own visual language without losing consistency.

📈 Outcome

🡆 Reduced error rates in operator flow (qualitative feedback)

🡆 Faster onboarding for new operators (from weeks to days)

🡆 Shipped in time for 2023 launch, with continued feature adoption into new markets

🡆 “The card view is exactly what we needed. Way easier to scan than the old sheet.” - Market Operator

🎯 My Role

Senior Product Designer


I led design for internal ops tools and collaborated on app UX, brand illustrations, and web presence. My focus: turning complicated internal processes into scalable, intuitive product experiences.

🔧 What I Did

📋 Redesigned the operator workflow with a card-based dashboard that surfaced key contest data clearly and reduced risk of human error

🧪 Tested layout patterns (table, kanban, card) with end users to balance info density with clarity, cards won decisively

🎨 Created a “sister” brand system for internal tools, extending the consumer-facing design language while introducing new UI patterns

🚀 Expanded tool capabilities post-launch: built-in assignment logic, support for additional bet types, and early-stage bulk actions

🔄 What I’d Do Differently

I’d advocate earlier for in-tool feedback logging. We had strong operator relationships, but more structured input could’ve accelerated post-launch improvements.

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