Monte Carlo

Monte Carlo is a data reliability platform that alerts users of inaccurate or missing data

UX / UI
Dashboard

Summary

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.

TDP helped Monte Carlo increase engagement with a better onboarding experience

Before

After

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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

Customer Challenge

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

Location
New York, USA
Plan
Essential

Why TDP?

Big Health reached out to The Design Project because of our experience developing consumer-facing apps that prioritize an easy-to-use and engaging UX. With proven product design processes that put the human first, Big Health knew TDP could help them create a tool that compelled users to take control of their sleep health more consistently.

Immediate results
Using a human-centric approach helped us quickly understand how to create the most effective experience for Monte Carlo’s unique user base.
User-first design
We helped Monte Carlo respond to user feedback with an optimized experience that kept customers happy and engaged.
Fresh perspectives
Our outside perspective and expertise allowed us to identify opportunities for improvement and offer alternative solutions to create a unified product.

After implementing TDP’s redesign, Monte Carlo saw an immediate improvement in user engagement

Results

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.