Monte Carlo is a data reliability platform that alerts users of inaccurate or missing data
In lieu of data engineers being unsure of how well their MC monitors detected inaccurate or missing data, Monte Carlo wanted to redesign their product to improve user engagement and customer satisfaction.
Try us risk free for 7 days, if you don’t love us, get your money back.
Monte Carlo is a data reliability platform that uses machine learning to automate the process of detecting issues and anomalies in databases. - Raised $135M in Series D - Top investor: Accel
Users struggled to understand insights or customize their monitors Decreased user engagement, due to confusion, meant users weren’t seeing the value Monte Carlo provided Strained resource brandwidth due to helping users manually track data
New York, USA
Essential
Monte Carlo knew they needed a fresh perspective to help them tackle the challenge of summarizing complex data into digestible and actionable insight. Our streamlined processes and user-focused strategies meant we could look past the product’s complexity and apply human-centered design practices to improve the flow. With our help, Monte Carlo could create a user-friendly experience that empowered users with information and advanced options to monitor complex data more easily.
Using a human-centric approach helped us quickly understand how to create the most effective experience for Monte Carlo’s unique user base.
We helped Monte Carlo respond to user feedback with an optimized experience that kept customers happy and engaged.
Our outside perspective and expertise allowed us to identify opportunities for improvement and offer alternative solutions to create a unified product.
Data-backed processes and expertise helped Monte Caro provide users with actionable insights, and a simplified customer navigation experience. With a touch of The Design Project, Monte Carlo’s incredible team developed and executed a strategy that focused on providing actionable insights that taught users how to customize their monitors.
