Google

Google Cloud Platform

The Google Cloud monitoring product serves a wide variety of personas ranging from highly technical coders to lower-tech analysts. The product needs to be rich with features that are customizable yet easy to use. Since new feature additions had grown rapidly, several UX conventions needed a holistic overhaul, lifting multiple dependent features at once — the existing interface configures source data, charts, and dashboards simultaneously, creating layers of complexity.

We started with competitive research, fine-combing through the microinteractions in Grafana and Datadog, focusing on chart creation and visualization since that area needed the greatest overhaul. Working hand in hand with user research, we mapped the mental model for configuring a new chart and built feature information-architecture clusters to keep component types consistent and easy to find.

Product design Data visualization Enterprise / AI
01

Challenge

Balancing rich, customizable features with ease of use across highly technical and lower-tech personas, while overhauling several dependent UX conventions at once.
02

Process

Competitive research across Grafana and Datadog, mental-model mapping with user research, and feature information-architecture clusters to keep things consistent and easy to find.
03

Outcome

Revamped toolbars, a new full-screen single-chart configuration option, and a clearer split between setting up a dashboard versus a chart — with more user research and edge-case prototyping to follow.

Process

Hand-drawn flow sketches for creating, editing, and viewing dashboards

Flow sketches for creating and editing dashboards

Redesigned Google Cloud monitoring dashboard with charts and filters

Redesigned monitoring dashboard


GOOGLE

YouTube

Maximizer lets artist managers pitch music to YouTube Music's programming team, while SoundBoard is what music programmers use to review roughly 1,500 pitches in two days for playlist placement. Partners wanted more date-range options, more surfaces beyond playlists, and better-managed assets — programmers wanted better filtering, more relevant context, and a more holistic view of what they were reviewing.

0 → 1 Cross-functional Enterprise tools
01

Challenge

Two related products, two different users — partners pitching music and programmers reviewing about 1,500 pitches in 2 days — each needing very different fixes.
02

Process

Stakeholder workshops, competitive research across TikTok, Spotify, Instagram, and YouTube, surveys, and feature-prioritization scoring with the team — 20+ iterations of Maximizer and 5+ data models.
03

Outcome

A multi-step, multi-asset submission flow supporting new surfaces beyond playlists, flexible global scheduling, and clearer categorization signals for programmers.
Maximizer app vision prototype showing the campaign set-up flow on mobile

Maximizer vision prototype

Design artifacts

Maximizer desktop

Maximizer desktop vision prototype, iteration 1
Vision prototype
Maximizer desktop MVP prototype, several iterations later
Submissions dashboard