Cloud data / integrations & AI
Boost.space is a cloud integration platform that connects and centralises data from more than 3,000 tools. I designed an interface that lets people connect data between tools without writing a single line of code.
Challenge
A complicated onboarding, unclear data flows and inconsistent UI that grew along with the product.
What I did
A data onboarding wizard, visual workflow management, a scalable SaaS design system and AI feature design.
Result
Onboarding that used to need explaining, people now handle on their own. The design system let the team add new features and AI tools without growing technical debt.
Client
Boost.space
Role
Lead Product & UX/UI Designer
Year
2018 – 2024
In numbers
3000+
connected tools in one dataset
6 years
ongoing collaboration on the product
1st
place at Škoda X Day · Křišťálová Lupa nomination (Young Blood)
The platform was growing fast, and so was the number of features. New users didn't know where to start, data flowed between tools in ways nobody could see, and every part of the interface looked slightly different.
I walked through a new user's journey from signup to first sync, looking for where they'd get stuck. That led to a data onboarding wizard, a visual workflow system, and a design system that the new AI features later stood on.
Process
For each one: what the problem was, what I designed, and why.
The problem: After signing up, users saw an empty system and didn't know where to start.
Solution: A step-by-step wizard: pick a source, connect the account, set up the sync. Every step has a clear outcome.
Why: The first data in the system is the moment people grasp the product's value. The sooner, the better.
The problem: Data flows between tools weren't visible. Users didn't trust that syncing was actually working, and data from different sources was incomplete and inconsistent.
Solution: Workflow as a visual chain of steps, showing where data comes from, where it goes and what happens to it. AI data enrichment designed directly in the master dataset, with what AI added clearly marked.
Why: People understand and trust what they can see. AI has to be transparent — users should always know what's theirs and what the machine suggested.
The problem: The UI grew along with the product, and every new part looked different.
Solution: A design system with components, variables and tokens that the whole interface stands on.
Why: For a product that changes every week, consistency is only possible through a system, not by checking screens one by one.
The collaboration produced a globally successful product with excellent usability, proving that even highly technical data tools can have a human, legible interface.
Over six years, Boost.space went through plenty of changes, but the core stayed the same: people can still see what's happening with their data, even as the whole system gradually took on AI.
Gallery
From onboarding to licensing and profile — how the design system holds the whole platform together.
