72% of users caught model issues faster with a simpler way to see AI health

72% of users caught model issues faster with a simpler way to see AI health

Services

Product design · UX research · Value proposition design · Interaction design · Cross-functional collaboration (engineering & data science)

Description

Many organisations struggle to maintain ML models after deployment, errors accumulate, performance drifts, and teams lose visibility into whether models can still be trusted. Coda was designed to make model health understandable and actionable through a simple, accessible interface for monitoring AI systems.

Many organisations struggle to maintain ML models after deployment, errors accumulate, performance drifts, and teams lose visibility into whether models can still be trusted. Coda was designed to make model health understandable and actionable through a simple, accessible interface for monitoring AI systems.

Impact

  • 72% of users felt it helped them detect challenges faster

  • ~60% increase in usage

Year

2025

Timeline

Growth

Location

London, UK

Highlights

  • 72% of users detected problems faster with the new interface

  • Drove ~60% increase in usage

  • Took the product from discovery to production, including refining the value proposition

  • Simplified complex ML concepts into intuitive, visual workflows

Key Contribution

Product strategy & design

  • Joined as the first designer on the product, leading design from discovery to production for an AI model monitoring platform

  • Refined the value proposition and simplified complex ML concepts into intuitive workflows and visual feedback

Improving trust & adoption

  • Redesigned key product flows to improve usability, trust, and day-to-day adoption

  • Worked closely with LiveOps to build trust with users and support adoption in real-world usage

Engineering collaboration

  • Worked closely with engineers and data scientists to rapidly iterate and ship production-ready experiences

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© All right reserved