Prism

Overview

Prism is an analytics platform built for product teams who need to make data-driven decisions without waiting for a data science team. It transforms raw event streams into clear, interactive dashboards that update in real time.

The Challenge

The existing analytics tooling required SQL proficiency and a deep understanding of the data warehouse schema. Product managers and designers were locked out of the insights they needed, creating bottlenecks and slowing iteration cycles.

Approach

I led the design of the core dashboard experience, focusing on making complex data accessible without sacrificing depth. The key insight was that most users need the same five to ten queries — the interface should make those effortless while still supporting advanced exploration.

Design principles

• Smart defaults — Every new dashboard starts with the most commonly requested metrics pre-configured, reducing time to first insight.
• Visual query builder — Complex filters and segments are constructed through direct manipulation rather than syntax.
• Contextual detail — Hovering, clicking, or selecting any data point reveals deeper breakdowns without navigating away.

Results

After launch, the number of non-technical users running daily queries increased by over three hundred percent. The average time from question to answer dropped from hours to under two minutes. Prism became the default analytics tool for product and marketing teams across the organization.