From Data to Decisions: Crafting a Scalable Analytics Dashboard and Design System

Scope

This project spanned the full product design lifecycle—starting with problem definition and persona mapping, through user story development, interface and system component design, and iterative user testing to validate usability and value.

Project overview

I led the design of a scalable analytics dashboard and component library to help teams make sense of complex data with clarity and consistency. The goal was to create a flexible system that could support diverse use cases while reducing design and engineering overhead.

Approach & collaboration

We began by mapping user needs through interviews and journey mapping with analysts, PMs, and operational leads. Insights shaped key personas and user stories, which informed both UI patterns and data interactions. Working closely with engineering, we built a reusable component library—complete with modular charting, filters, and layout structures—ensuring seamless integration with frontend systems. Iterative testing with real users validated comprehension, usability, and performance across workflows.

Outcomes & impact

We shipped, validated, and optimized a custom analytics engine tailored to our product’s unique data structure and user needs. The new system was quickly adopted by several large enterprise customers, who used it to justify and refine their recruiting strategies based on real-time insights.

The success of the analytics experience directly contributed to the development of a new business line focused on advanced analytics offerings—positioning the company to deliver even greater value to data-driven customers and unlocking new revenue opportunities.

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