← Selected Work
NZ-02 · SIDE B · '24

Conversational BI for Workforce Analytics

Role
UX/UI · Product Design · PM
Year
2024
Platform
Web app

A web-based BI tool that uses conversational AI (LLMs) to surface dynamic insights from workforce data: attendance, overtime, turnover and cost centers. Instead of hunting through dashboards, HR and finance teams simply ask and get real-time analytics and reports through a conversational interface that makes complex data easy to understand and act on.

Selected activities
Conversational UXData visualizationLLM interaction designPrototyping
"Complex workforce data, made answerable in plain language."
Context

HR and finance teams sit on rich CSV data (attendance, overtime, turnover, cost centers), but the insight is locked behind spreadsheets and static dashboards. The goal was to let anyone interrogate that data in natural language and act on it.

Approach

I designed a conversational interface on top of an LLM layer that translates questions into real-time analytics and reports, pairing chat with the right supporting visualizations so answers stay trustworthy and explorable.

Desktop web app