backgroune text
Client
Revenue Base
Website
https://revenuebase.ai/
Contribution
Designing a complex data infrastructure product from scratch - turning fragmented backend systems into a clear, scalable user experience.
Scroll down
PROBLEM STATEMENT
RevenueBase relied on a manual, sales-driven process to sell datasets.
Every purchase required demos, calls, and custom dataset previews — making the experience slow, unclear, and difficult to scale.
They couldn’t independently evaluate coverage, compare datasets, or test whether the data actually fit their needs.
Even basic questions required involvement from internal teams.
This created a mismatch between how users expect modern products to work and how this product was actually experienced.
My Role as a Product Designer was:
Conducted stakeholder interviews
Defined information architecture
Designed core portal flows
Built a scalable design system and visual language
Constrains
Technical delivery constraints
Data was delivered via Snowflake, AWS, Gigasheet
UX had to reflect real backend limitations
The challenge wasn’t just structure,
it was users' expectation mismatch. Most of them came in with a very specific mental model of how data works.




