Lakeit
AI-powered tool designed to help businesses make data-driven decisions, optimizing strategies with valuable insights
- Industry
- Data AI
- Client
- Globalhitss
- Service
- UX UI Design
- Type
- Responsive web
Context & problem
Lakeit is an AI-powered tool built with Globalhitss to help large enterprises organise, visualise and act on their data to make smarter business decisions.
- Data without answers — Companies had large data lakes but struggled to extract insights.
- AI that feels opaque — Users needed to trust and understand AI-generated recommendations.
- Complex workflows — Analysts and managers needed different views of the same data.
Results
The Lakeit platform empowered large enterprises to make smarter, data-driven business decisions, with intuitive tools to organize, visualize and analyze complex datasets.
- 92% Task — Success Rate
- 45% Faster — Task Completion
- 60% Feature — Adoption Rate
- 4.6/5 User — Satisfaction Score
Process & discovery
I designed the platform end to end, from research with enterprise users to the AI experiences that turn data into recommendations. I also worked full stack, building the web app in React and TypeScript and the Java (Spring Boot) APIs that deliver the data and AI recommendations.
- Discover — Interviews with analysts and managers about their decision workflows.
- Define — Core journeys for organising, visualising and acting on data.
- Design — Dashboards and AI insight experiences with clear explanations.
- Validate — Usability tests measuring task success and satisfaction.
Tools
Design and code in one flow: from UX/UI in Figma to the frontend and backend in production.
- Figma — UX/UI & Prototypes
- React — Web App
- TypeScript — Frontend
- Java — Spring Boot APIs
Learnings
- Explainable AI builds trust — Showing why a recommendation appears made users act on it.
- One data, many views — Role-based views let each user focus on what matters to them.
- Measure usability — Task success metrics guided every iteration of the product.