Artist Data Web App

Niels.

Back Home

ROLE

UX/UI DESIGN

YEAR

2025

TIMELINE

1 MONTH

DESIGNTEAM

JUST ME

Make complex artist data usable.

about.

Context
Greenhouse Talent is an international concert promoter and booking agency. For them, data isn't decoration. It drives booking decisions.

Together with Sensr, a scraping platform pulling data from multiple sources, we designed an internal analytics platform. One place where bookers and promoters can evaluate any artist quickly and confidently.

This was a product used daily by professionals making high-stakes decisions. Every booking is a financial bet. The data had to be right and fast.

My role
Solo UX and UI design on the platform.

Structuring complex statistics into understandable dashboards
Rethinking the search to report to export flow
Designing artist comparison tools
Improving performance perception during heavy data loads
Building a dark, brand-aligned interface

challenge

Bookers needed answers to very practical questions. Is this artist popular in Belgium? Which cities? What does their airplay look like? Are they growing or fading? Is this venue the right size?

The data existed. All of it. But it wasn't structured around decision-making. Reports took time, felt heavy, and required too many steps before a booker could actually act on anything.

The main tensions:

Huge amounts of data from multiple sources
Report generation that felt slow even when it wasn't
Non-digital stakeholders who needed to give useful feedback
Balancing actual performance with perceived performance

This was not about showing more charts. It was about showing the right ones.

how did i get there

Started in two directions at once. Interviews with the bookers to understand how they actually made decisions, and an audit of the Sensr data to understand what existed and where it broke down.

The interviews revealed something important: bookers weren't analysts. They needed one clear answer per question, not a dashboard full of options. The data audit showed that everything they needed was already there, just organised for engineers, not for decision-makers.

That gap was the whole brief. Reorganise the data around the questions bookers actually ask. Then make it fast to get there.

Started in two directions at once. Interviews with the bookers to understand how they actually made decisions, and an audit of the Sensr data to understand what existed and where it broke down.

That gap was the whole brief. Reorganise the data around the questions bookers actually ask. Then make it fast to get there.

result

Centralised search — searching for an artist became the single entry point. From there, everything else flows. Reports load without friction.
Structured dashboards — statistics grouped around real questions: popularity, demographics, airplay, monthly searches, concert history. Progressive disclosure and hover interactions reduce cognitive load without hiding depth.
Comparison tools — promoters can put two artists side by side and immediately see who fits a specific venue or market.
PDF export — reports export as visually consistent PDFs built with Puppeteer. Full design control, reusable components, performance managed without sacrificing quality.
Dark, brand-aligned interface — dark mode to match the music industry context and create focus. Professional without feeling corporate.

The result is a tool where a booker can go from question to decision in under a minute. The data didn't change. The way it was presented did.