Spotify Genre Explorer
UX & Framework Architecture
With the support of
Project Management — Bradee Markham
Development & Framework — Jeff Yamada, Anthony Mariano
A data visualization product developed with proprietary Spotify statistics, the Genre Explorer helps Spotify ad partners and marketers make well informed decisions when ad targeting audience segments on the platform.
Section 01: The Problem
So much data, so little space.
How do we package an insane amount of data into an easy to navigate product that appeals to advertisers and marketers?
We needed to build a tool that helped users distill a lot of subscriber information at a glance: segmentation, tags, geolocation, popularity, followers, engagement metrics, the list goes on. The product was mostly going to be used in meetings and on large TV displays so tiny type and boring tables were out of the question. Exploration and browsing had to not only be effortless but engaging and captivating; say goodbye to tiny carets for data sorting! We needed filters, we needed rankings, we needed data visualizations, and we needed a music player. Easy peasy, am I right?
Section 02: The Solution
Go BIG or go home!
Section 3: Phase 1
The goal was to start small. We built an MPV accessible to Spotify employees only who helped us test the product, provided feedback, and requests for additional features.
Section 4: Phase 2
Testing, Iteration and Additional Features
After a month of testing the MVP internally at Spotify, we uncovered a few areas in need of clarification. Users generally needed more context around action items and wished to see even more data surfaced to the top.
We also received a lot of requests for additional features which we ranked and prioritized by urgency and importance. Then, we spent some time prototyping, exploring new ideas, and additional data visualizations.
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