Duetto AI-Powered Advanced Analytics Platform
Duetto AI-Powered Advanced Analytics Platform
Deutto is an AI-powered analytics dashboard designed to help teams transform complex operational data into actionable insights. The platform combines predictive analytics, real-time monitoring, and automated intelligence to support faster, more confident decision-making.
The goal of this project was to design a modern analytics experience that enables users to quickly understand business performance, detect anomalies, and identify growth opportunities without relying heavily on manual analysis.
Deutto is an AI-powered analytics dashboard designed to help teams transform complex operational data into actionable insights. The platform combines predictive analytics, real-time monitoring, and automated intelligence to support faster, more confident decision-making.
The goal of this project was to design a modern analytics experience that enables users to quickly understand business performance, detect anomalies, and identify growth opportunities without relying heavily on manual analysis.
Timeline
2025
Role
Senior UX Design Lead
Timeline
2025
Role
Senior UX Design Lead
The Problem
The Problem
Organizations collect large amounts of operational and product data, but most analytics tools present information in ways that are difficult to interpret quickly.
Common challenges included:
• Fragmented reporting across multiple tools
• Static dashboards that require manual interpretation
• Difficulty identifying trends and anomalies early
• Limited ability for non-technical teams to extract insights
Users needed a centralized dashboard that could not only display metrics but also interpret the data and surface meaningful insights automatically.
Organizations collect large amounts of operational and product data, but most analytics tools present information in ways that are difficult to interpret quickly.
Common challenges included:
• Fragmented reporting across multiple tools
• Static dashboards that require manual interpretation
• Difficulty identifying trends and anomalies early
• Limited ability for non-technical teams to extract insights
Users needed a centralized dashboard that could not only display metrics but also interpret the data and surface meaningful insights automatically.
The Solution
The Solution
I designed an AI-driven analytics dashboard structured around three core layers:
1. Executive Overview
A high-level command center displaying critical KPIs such as revenue performance, churn risk, growth trends, and operational efficiency.
2. AI Insight Feed
Automated insight summaries that highlight important changes in data patterns, explain what is happening, and suggest potential actions.
3. Deep Data Exploration
Interactive tools that allow users to drill down into metrics, compare segments, and explore trends over time.
This layered approach helps users move from quick insights to deeper analysis seamlessly.
I designed an AI-driven analytics dashboard structured around three core layers:
1. Executive Overview
A high-level command center displaying critical KPIs such as revenue performance, churn risk, growth trends, and operational efficiency.
2. AI Insight Feed
Automated insight summaries that highlight important changes in data patterns, explain what is happening, and suggest potential actions.
3. Deep Data Exploration
Interactive tools that allow users to drill down into metrics, compare segments, and explore trends over time.
This layered approach helps users move from quick insights to deeper analysis seamlessly.
